SlideShare a Scribd company logo
Quantum Operations and
Completely Positive Linear Maps

             Chi-Kwong Li
      Department of Mathematics
    The College of William and Mary
      Williamsburg, Virginia, USA




         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum Operations and
Completely Positive Linear Maps

             Chi-Kwong Li
      Department of Mathematics
    The College of William and Mary
      Williamsburg, Virginia, USA




    Currently visiting GWU and NRL.



         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum Operations and
    Completely Positive Linear Maps

                   Chi-Kwong Li
            Department of Mathematics
          The College of William and Mary
            Williamsburg, Virginia, USA




           Currently visiting GWU and NRL.
Joint work with Yiu-Tung Poon (Iowa State University).


                Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Classical computing




                      Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Classical computing




      Hardware - Beads and bars.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Classical computing




      Hardware - Beads and bars.
      Input - Using finger skill to change the states of the device.




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Classical computing




      Hardware - Beads and bars.
      Input - Using finger skill to change the states of the device.
      Processor - Mechanical process with algorithms based on elementary
      arithmetic rules.




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Classical computing




      Hardware - Beads and bars.
      Input - Using finger skill to change the states of the device.
      Processor - Mechanical process with algorithms based on elementary
      arithmetic rules.
      Output - Beads and bars, then recorded by brush and ink.


                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Modern Computing




                   Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Modern Computing




     Hardware - Mechanical/electronic/integrated circuits.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Modern Computing




     Hardware - Mechanical/electronic/integrated circuits.
     Input - Punch cards, keyboards, scanners, sounds, etc. all converted
     to binary bits - (0, 1) sequences.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Modern Computing




     Hardware - Mechanical/electronic/integrated circuits.
     Input - Punch cards, keyboards, scanners, sounds, etc. all converted
     to binary bits - (0, 1) sequences.
     Processor - Manipulations of (0, 1) sequences using Boolean logic.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Modern Computing

                                                                          0∨0=0
                                                                          0∨1=1
                                                                          1∨0=1
                                                                          1∨1=1



     Hardware - Mechanical/electronic/integrated circuits.
     Input - Punch cards, keyboards, scanners, sounds, etc. all converted
     to binary bits - (0, 1) sequences.
     Processor - Manipulations of (0, 1) sequences using Boolean logic.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Modern Computing

                                                                          0∨0=0
                                                                          0∨1=1
                                                                          1∨0=1
                                                                          1∨1=1



     Hardware - Mechanical/electronic/integrated circuits.
     Input - Punch cards, keyboards, scanners, sounds, etc. all converted
     to binary bits - (0, 1) sequences.
     Processor - Manipulations of (0, 1) sequences using Boolean logic.

     Output - (0, 1) sequences realized as visual images, which can be
     viewed or printed.



                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum computing



                 Quantum Computing Unit
            −→                          −→
                  Optical lattices, NMR




                    Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum computing



                      Quantum Computing Unit
                −→                           −→
                       Optical lattices, NMR


     Hardware - Super conductor, trapped ions, optical lattices, quantum
     dot, MNR, etc.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum computing



                      Quantum Computing Unit
                −→                           −→
                       Optical lattices, NMR


     Hardware - Super conductor, trapped ions, optical lattices, quantum
     dot, MNR, etc.
     Input - Quantum states in a specific form - Quantum bits (Qubits).




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum computing



                      Quantum Computing Unit
                −→                           −→
                       Optical lattices, NMR


     Hardware - Super conductor, trapped ions, optical lattices, quantum
     dot, MNR, etc.
     Input - Quantum states in a specific form - Quantum bits (Qubits).
     Processor - Provide suitable environment for the quantum system of
     qubits to evolve.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum computing



                      Quantum Computing Unit
                −→                           −→
                       Optical lattices, NMR


     Hardware - Super conductor, trapped ions, optical lattices, quantum
     dot, MNR, etc.
     Input - Quantum states in a specific form - Quantum bits (Qubits).
     Processor - Provide suitable environment for the quantum system of
     qubits to evolve.
     Output - Measurement of the resulting quantum states.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum computing



                      Quantum Computing Unit
                −→                           −→
                       Optical lattices, NMR


     Hardware - Super conductor, trapped ions, optical lattices, quantum
     dot, MNR, etc.
     Input - Quantum states in a specific form - Quantum bits (Qubits).
     Processor - Provide suitable environment for the quantum system of
     qubits to evolve.
     Output - Measurement of the resulting quantum states.
     All these require the understanding of mathematics, physics,
     chemistry, computer sciences, engineering, etc.



                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Mathematical formulation (by von Neumann)

     Suppose a quantum system have
     two (discrete) measurable physical
     sates, say, up spin and down spin
     of a particle represented by




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Mathematical formulation (by von Neumann)

     Suppose a quantum system have
     two (discrete) measurable physical
     sates, say, up spin and down spin
     of a particle represented by

                1                        0
        |0 =           and     |1 =        .
                0                        1




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Mathematical formulation (by von Neumann)

     Suppose a quantum system have
     two (discrete) measurable physical
     sates, say, up spin and down spin
     of a particle represented by

                1                        0
        |0 =           and     |1 =        .
                0                        1

     Before measurement, the vector state may be in superposition state
     represented by a complex vector

                                         α
           v = |ψ = α|0 + β|1 =                ∈ C2 ,     |α|2 + |β|2 = 1.
                                         β




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Mathematical formulation (by von Neumann)

     Suppose a quantum system have
     two (discrete) measurable physical
     sates, say, up spin and down spin
     of a particle represented by

                1                        0
        |0 =           and     |1 =        .
                0                        1

     Before measurement, the vector state may be in superposition state
     represented by a complex vector

                                         α
           v = |ψ = α|0 + β|1 =                ∈ C2 ,     |α|2 + |β|2 = 1.
                                         β

     One can apply a quantum operation to a state in superposition.



                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Mathematical formulation (by von Neumann)

     Suppose a quantum system have
     two (discrete) measurable physical
     sates, say, up spin and down spin
     of a particle represented by

                1                        0
        |0 =           and     |1 =        .
                0                        1

     Before measurement, the vector state may be in superposition state
     represented by a complex vector

                                         α
           v = |ψ = α|0 + β|1 =                ∈ C2 ,     |α|2 + |β|2 = 1.
                                         β

     One can apply a quantum operation to a state in superposition.
     That is the famous “phenomenon” that one can apply a
     transformation to the half alive and half dead Schrödinger cat.

                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Matrix formulation

      It is convenient to represent the quantum state |ψ as a rank one
      orthogonal projection:
                                          1     1+z         x + iy
                      Q = |ψ ψ| =
                                          2     x − iy      1−z
      with x, y, z ∈ R such that x2 + y 2 + z 2 = 1.




                           Chi-Kwong Li       Quantum Operations and Completely Positive Maps
Matrix formulation

      It is convenient to represent the quantum state |ψ as a rank one
      orthogonal projection:
                                          1     1+z         x + iy
                      Q = |ψ ψ| =
                                          2     x − iy      1−z
      with x, y, z ∈ R such that x2 + y 2 + z 2 = 1.
      There is a Bloch sphere representation of a qubit




                           Chi-Kwong Li       Quantum Operations and Completely Positive Maps
Tensor product and complexity


     The state of k qubits is represented as the tensor product of k 2 × 2
     matrices
                                Q1 ⊗ · · · ⊗ Qk .




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Tensor product and complexity


     The state of k qubits is represented as the tensor product of k 2 × 2
     matrices
                                Q1 ⊗ · · · ⊗ Qk .

     Recall that for matrices X = (xij ) and Y (may be of different
     sizes),
                               X ⊗ Y = (xij Y ).




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Tensor product and complexity


     The state of k qubits is represented as the tensor product of k 2 × 2
     matrices
                                Q1 ⊗ · · · ⊗ Qk .

     Recall that for matrices X = (xij ) and Y (may be of different
     sizes),
                               X ⊗ Y = (xij Y ).

     General entangled states are represented as 2k × 2k density
     matrices, i.e., trace one positive semidefinite matrices.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Tensor product and complexity


     The state of k qubits is represented as the tensor product of k 2 × 2
     matrices
                                Q1 ⊗ · · · ⊗ Qk .

     Recall that for matrices X = (xij ) and Y (may be of different
     sizes),
                               X ⊗ Y = (xij Y ).

     General entangled states are represented as 2k × 2k density
     matrices, i.e., trace one positive semidefinite matrices.
     For k = 1000, we have 21000 = (210 )100 ≈ 10300 . If a high speed
     computer can do 1015 operations per second, to do one operation
     on each of the states,




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Tensor product and complexity


     The state of k qubits is represented as the tensor product of k 2 × 2
     matrices
                                Q1 ⊗ · · · ⊗ Qk .

     Recall that for matrices X = (xij ) and Y (may be of different
     sizes),
                               X ⊗ Y = (xij Y ).

     General entangled states are represented as 2k × 2k density
     matrices, i.e., trace one positive semidefinite matrices.
     For k = 1000, we have 21000 = (210 )100 ≈ 10300 . If a high speed
     computer can do 1015 operations per second, to do one operation
     on each of the states, one needs

               1030 /1015 = 1015 seconds > 300, 000 centuries!



                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum operations


     Solving the Schrödinger equation, one sees that quantum operations
     (channels) on a closed system are unitary similarity transform on
     quatnum states ρ (represented as density matrices), i.e.,

                               ρ(t) → Ut ρ0 Ut† .




                        Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum operations


     Solving the Schrödinger equation, one sees that quantum operations
     (channels) on a closed system are unitary similarity transform on
     quatnum states ρ (represented as density matrices), i.e.,

                                ρ(t) → Ut ρ0 Ut† .

     When the state ρ of principal system interacts (involuntarily) with
     the state ρE of the (external) environment, one would trace out the
     environment so that




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Quantum operations


     Solving the Schrödinger equation, one sees that quantum operations
     (channels) on a closed system are unitary similarity transform on
     quatnum states ρ (represented as density matrices), i.e.,

                                  ρ(t) → Ut ρ0 Ut† .

     When the state ρ of principal system interacts (involuntarily) with
     the state ρE of the (external) environment, one would trace out the
     environment so that
                                                           r
                  ρ(t) → Tr E (Ut (ρ ⊗ ρE )Ut† ) =             Fj ρFj†
                                                         j=1


                                                                      Fj† Fj = I.
                                                                r
     for some m × n matrices F1 , . . . , Fr satisfying         j=1




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Completely positive linear maps


  Let Mn be the set of n × n complex matrices,




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Completely positive linear maps


  Let Mn be the set of n × n complex matrices,
  Hn be the set of n × n complex Hermitian matrices.




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Completely positive linear maps


  Let Mn be the set of n × n complex matrices,
  Hn be the set of n × n complex Hermitian matrices.
  A map L : Mn → Mm is completely positive if L admits an operator sum
  representation
                                            r
                             L(A) =              Fj AFj† ,
                                           j=1

  where F1 , . . . , Fr are m × n complex matrices.




                            Chi-Kwong Li         Quantum Operations and Completely Positive Maps
Completely positive linear maps


  Let Mn be the set of n × n complex matrices,
  Hn be the set of n × n complex Hermitian matrices.
  A map L : Mn → Mm is completely positive if L admits an operator sum
  representation
                                             r
                              L(A) =              Fj AFj† ,
                                            j=1

  where F1 , . . . , Fr are m × n complex matrices.
                                                                             Fj Fj† = Im ;
                                                                       r
  In addition, L is unital if L(In ) = Im , equivalently,              j=1




                             Chi-Kwong Li         Quantum Operations and Completely Positive Maps
Completely positive linear maps


  Let Mn be the set of n × n complex matrices,
  Hn be the set of n × n complex Hermitian matrices.
  A map L : Mn → Mm is completely positive if L admits an operator sum
  representation
                                             r
                              L(A) =              Fj AFj† ,
                                            j=1

  where F1 , . . . , Fr are m × n complex matrices.
                                                                             Fj Fj† = Im ;
                                                                       r
  In addition, L is unital if L(In ) = Im , equivalently,              j=1

                                                                                 Fj† Fj = In .
                                                                           r
  L is trace preserving if Tr A = Tr L(A), equivalently,                   j=1




                             Chi-Kwong Li         Quantum Operations and Completely Positive Maps
General problems

  Since every quantum operation / channel is a trace preserving completely
  positive linear map, it is interesting to study the following.




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
General problems

  Since every quantum operation / channel is a trace preserving completely
  positive linear map, it is interesting to study the following.
  Question
  Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace
  preserving) completely positive linear map satisfying L(Aj ) = Bj for all
  j = 1, . . . , k?




                              Chi-Kwong Li   Quantum Operations and Completely Positive Maps
General problems

  Since every quantum operation / channel is a trace preserving completely
  positive linear map, it is interesting to study the following.
  Question
  Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace
  preserving) completely positive linear map satisfying L(Aj ) = Bj for all
  j = 1, . . . , k?

  It is also interesting to consider the following related problems.




                              Chi-Kwong Li   Quantum Operations and Completely Positive Maps
General problems

  Since every quantum operation / channel is a trace preserving completely
  positive linear map, it is interesting to study the following.
  Question
  Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace
  preserving) completely positive linear map satisfying L(Aj ) = Bj for all
  j = 1, . . . , k?

  It is also interesting to consider the following related problems.

       Understand the duality relation between the trace preserving
       completely positive linear maps and the unital preserving completely
       positive linear maps.




                              Chi-Kwong Li   Quantum Operations and Completely Positive Maps
General problems

  Since every quantum operation / channel is a trace preserving completely
  positive linear map, it is interesting to study the following.
  Question
  Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace
  preserving) completely positive linear map satisfying L(Aj ) = Bj for all
  j = 1, . . . , k?

  It is also interesting to consider the following related problems.

       Understand the duality relation between the trace preserving
       completely positive linear maps and the unital preserving completely
       positive linear maps.
       Determine / deduce properties of L based on the information of
       L(A) for some special matrices A.



                              Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Basic results

  For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by

                        λ(A) = (λ1 (A), . . . , λn (A)).




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Basic results

  For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by

                         λ(A) = (λ1 (A), . . . , λn (A)).


  Definition
  For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if
  the sum of entries of x is the same as that of y, and the sum of the k
  largest entries of x is not larger than that of y for k = 1, . . . , k − 1.




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Basic results

  For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by

                         λ(A) = (λ1 (A), . . . , λn (A)).


  Definition
  For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if
  the sum of entries of x is the same as that of y, and the sum of the k
  largest entries of x is not larger than that of y for k = 1, . . . , k − 1.

  Example (5, 4, 1)    (7, 3, 0), (5, 4, 1)     (6, 2, 2), (6, 2, 2)       (5, 4, 1).




                             Chi-Kwong Li     Quantum Operations and Completely Positive Maps
Basic results

  For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by

                         λ(A) = (λ1 (A), . . . , λn (A)).


  Definition
  For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if
  the sum of entries of x is the same as that of y, and the sum of the k
  largest entries of x is not larger than that of y for k = 1, . . . , k − 1.

  Example (5, 4, 1)    (7, 3, 0), (5, 4, 1)     (6, 2, 2), (6, 2, 2)       (5, 4, 1).
  It is known that x y if and only if there is a doubly stochastic matrix
  D such that x = yD.




                             Chi-Kwong Li     Quantum Operations and Completely Positive Maps
Basic results

  For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by

                         λ(A) = (λ1 (A), . . . , λn (A)).


  Definition
  For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if
  the sum of entries of x is the same as that of y, and the sum of the k
  largest entries of x is not larger than that of y for k = 1, . . . , k − 1.

  Example (5, 4, 1)    (7, 3, 0), (5, 4, 1)     (6, 2, 2), (6, 2, 2)       (5, 4, 1).
  It is known that x y if and only if there is a doubly stochastic matrix
  D such that x = yD.
  Recall that a nonnegative matrix D is row (respectively, column)
  stochastic if D have all row (respectively, column) sums equal to one;



                             Chi-Kwong Li     Quantum Operations and Completely Positive Maps
Basic results

  For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by

                         λ(A) = (λ1 (A), . . . , λn (A)).


  Definition
  For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if
  the sum of entries of x is the same as that of y, and the sum of the k
  largest entries of x is not larger than that of y for k = 1, . . . , k − 1.

  Example (5, 4, 1)    (7, 3, 0), (5, 4, 1)     (6, 2, 2), (6, 2, 2)       (5, 4, 1).
  It is known that x y if and only if there is a doubly stochastic matrix
  D such that x = yD.
  Recall that a nonnegative matrix D is row (respectively, column)
  stochastic if D have all row (respectively, column) sums equal to one;
  D is doubly stochastic if all row and column sums equal one.

                             Chi-Kwong Li     Quantum Operations and Completely Positive Maps
Theorem
Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of
the positive (respectively, negative) eigenvalues of A.




                        Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of
the positive (respectively, negative) eigenvalues of A. The following
conditions are equivalent.
    There is a trace preserving completely positive linear map
    L : Mn → Mm such that L(A) = B.




                        Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of
the positive (respectively, negative) eigenvalues of A. The following
conditions are equivalent.
    There is a trace preserving completely positive linear map
    L : Mn → Mm such that L(A) = B.
    λ(B)    (a+ , 0, . . . , 0, a− ) in R1×m .




                           Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Theorem
Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of
the positive (respectively, negative) eigenvalues of A. The following
conditions are equivalent.
    There is a trace preserving completely positive linear map
    L : Mn → Mm such that L(A) = B.
    λ(B)    (a+ , 0, . . . , 0, a− ) in R1×m .
    There is an n × m row stochastic matrix D with the first k rows all
    equal and the last n − k rows all equal such that λ(B) = λ(A)D.




                           Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Theorem
Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of
the positive (respectively, negative) eigenvalues of A. The following
conditions are equivalent.
    There is a trace preserving completely positive linear map
    L : Mn → Mm such that L(A) = B.
    λ(B)    (a+ , 0, . . . , 0, a− ) in R1×m .
    There is an n × m row stochastic matrix D with the first k rows all
    equal and the last n − k rows all equal such that λ(B) = λ(A)D.
    One can use D to construct m × n matrices F1 , . . . , Fr with
    r = max(m, n) such that B = j=1 Fj AFj† and j=1 Fj† Fj = In .
                                   r                      r




                           Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Theorem
Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of
the positive (respectively, negative) eigenvalues of A. The following
conditions are equivalent.
     There is a trace preserving completely positive linear map
     L : Mn → Mm such that L(A) = B.
     λ(B)    (a+ , 0, . . . , 0, a− ) in R1×m .
     There is an n × m row stochastic matrix D with the first k rows all
     equal and the last n − k rows all equal such that λ(B) = λ(A)D.
     One can use D to construct m × n matrices F1 , . . . , Fr with
     r = max(m, n) such that B = j=1 Fj AFj† and j=1 Fj† Fj = In .
                                    r                      r



Remark For density matrices A and B, the condition trivially holds.



                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Theorem
Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent.




                        Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent.

    There is a unital completely positive linear map L such that
    L(A) = B.




                        Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent.

    There is a unital completely positive linear map L such that
    L(A) = B.
    λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m.




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent.

    There is a unital completely positive linear map L such that
    L(A) = B.
    λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m.
    There is an n × m column stochastic matrix D such that
    λ(B) = λ(A)D.




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent.

     There is a unital completely positive linear map L such that
     L(A) = B.
     λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m.
     There is an n × m column stochastic matrix D such that
     λ(B) = λ(A)D.

Remark The condition may fail even if A and B are density matrices.




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent.

     There is a unital completely positive linear map L such that
     L(A) = B.
     λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m.
     There is an n × m column stochastic matrix D such that
     λ(B) = λ(A)D.

Remark The condition may fail even if A and B are density matrices.

Question
Can we deduce this result from the previous one using duality of
completely positive linear map?




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Question
Assume there is a unital completely positive map sending A to B, and
also a trace preserving completely positive map sending A to B.




                        Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Question
Assume there is a unital completely positive map sending A to B, and
also a trace preserving completely positive map sending A to B. Is there
a unital trace preserving completely positive map sending A to B?




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Question
Assume there is a unital completely positive map sending A to B, and
also a trace preserving completely positive map sending A to B. Is there
a unital trace preserving completely positive map sending A to B?

The following example shows that the answer is negative.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Question
Assume there is a unital completely positive map sending A to B, and
also a trace preserving completely positive map sending A to B. Is there
a unital trace preserving completely positive map sending A to B?

The following example shows that the answer is negative.
Example
Suppose A = diag (4, 1, 1, 0) and B = diag (3, 3, 0, 0). Then there is a
trace preserving completely positive map sending A to B, and also a
unital completely positive map sending A to B.




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Question
Assume there is a unital completely positive map sending A to B, and
also a trace preserving completely positive map sending A to B. Is there
a unital trace preserving completely positive map sending A to B?

The following example shows that the answer is negative.
Example
Suppose A = diag (4, 1, 1, 0) and B = diag (3, 3, 0, 0). Then there is a
trace preserving completely positive map sending A to B, and also a
unital completely positive map sending A to B. But there is no trace
preserving completely positive linear map sending A1 to B1 if

A1 = A − I4 = diag (3, 0, 0, −1) and B1 = B − I4 = diag (2, 2, −1, −1).




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Question
Assume there is a unital completely positive map sending A to B, and
also a trace preserving completely positive map sending A to B. Is there
a unital trace preserving completely positive map sending A to B?

The following example shows that the answer is negative.
Example
Suppose A = diag (4, 1, 1, 0) and B = diag (3, 3, 0, 0). Then there is a
trace preserving completely positive map sending A to B, and also a
unital completely positive map sending A to B. But there is no trace
preserving completely positive linear map sending A1 to B1 if

A1 = A − I4 = diag (3, 0, 0, −1) and B1 = B − I4 = diag (2, 2, −1, −1).

Hence, there is no unital trace preserving completely positive map
sending A to B.



                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.

     There exists a unital trace preserving completely positive map L
     such that L(A) = B.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.

     There exists a unital trace preserving completely positive map L
     such that L(A) = B.
     For each t ∈ R, there exists a trace preserving completely positive
     map L such that L(A − tI) = B − tI.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.

     There exists a unital trace preserving completely positive map L
     such that L(A) = B.
     For each t ∈ R, there exists a trace preserving completely positive
     map L such that L(A − tI) = B − tI.
     λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that
     λ(B) = λ(A)D.




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.

     There exists a unital trace preserving completely positive map L
     such that L(A) = B.
     For each t ∈ R, there exists a trace preserving completely positive
     map L such that L(A − tI) = B − tI.
     λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that
     λ(B) = λ(A)D.
     There is a unitary U ∈ Mn such that U AU † has diagonal entries
     λ1 (B), . . . , λn (B).




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.

     There exists a unital trace preserving completely positive map L
     such that L(A) = B.
     For each t ∈ R, there exists a trace preserving completely positive
     map L such that L(A − tI) = B − tI.
     λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that
     λ(B) = λ(A)D.
     There is a unitary U ∈ Mn such that U AU † has diagonal entries
     λ1 (B), . . . , λn (B).
     There exist unitary matrices Uj , 1 ≤ j ≤ n such that
          1    n         †
     B = n j=1 Uj AUj .




                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Theorem
Let A, B ∈ Hn . The following conditions are equivalent.

     There exists a unital trace preserving completely positive map L
     such that L(A) = B.
     For each t ∈ R, there exists a trace preserving completely positive
     map L such that L(A − tI) = B − tI.
     λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that
     λ(B) = λ(A)D.
     There is a unitary U ∈ Mn such that U AU † has diagonal entries
     λ1 (B), . . . , λn (B).
     There exist unitary matrices Uj , 1 ≤ j ≤ n such that
          1    n         †
     B = n j=1 Uj AUj .
     B is in the convex hull of the unitary orbit U(A) of A:

                             {U AU † : U unitary}.


                         Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Results and questions on multiple matrices


  Theorem
  Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices.
  Then there is a unital / trace preserving / unital and trace preserving
  completely positive linear maps L such that

                      L(Aj ) = Bj          for j = 1, . . . , k




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Results and questions on multiple matrices


  Theorem
  Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices.
  Then there is a unital / trace preserving / unital and trace preserving
  completely positive linear maps L such that

                      L(Aj ) = Bj          for j = 1, . . . , k

  if and only if there is an n × m column / row / doubly stochastic matrix
  D such that d(Bj ) = d(Aj )D for j = 1, . . . , k.




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Results and questions on multiple matrices


  Theorem
  Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices.
  Then there is a unital / trace preserving / unital and trace preserving
  completely positive linear maps L such that

                      L(Aj ) = Bj          for j = 1, . . . , k

  if and only if there is an n × m column / row / doubly stochastic matrix
  D such that d(Bj ) = d(Aj )D for j = 1, . . . , k.
  Here d(R) is the vector of diagonal entries of the square matrix R.




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Results and questions on multiple matrices


  Theorem
  Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices.
  Then there is a unital / trace preserving / unital and trace preserving
  completely positive linear maps L such that

                      L(Aj ) = Bj          for j = 1, . . . , k

  if and only if there is an n × m column / row / doubly stochastic matrix
  D such that d(Bj ) = d(Aj )D for j = 1, . . . , k.
  Here d(R) is the vector of diagonal entries of the square matrix R.

  Remark Evidently, the result can be applied to commuting families
  {A1 , . . . , Ak } and {B1 , . . . , Bk }.




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Results and questions on multiple matrices


  Theorem
  Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices.
  Then there is a unital / trace preserving / unital and trace preserving
  completely positive linear maps L such that

                      L(Aj ) = Bj          for j = 1, . . . , k

  if and only if there is an n × m column / row / doubly stochastic matrix
  D such that d(Bj ) = d(Aj )D for j = 1, . . . , k.
  Here d(R) is the vector of diagonal entries of the square matrix R.

  Remark Evidently, the result can be applied to commuting families
  {A1 , . . . , Ak } and {B1 , . . . , Bk }.
  Question What about non-commuting families?



                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Further research

      It would be interesting to study the interpolation problem for
      general families {A1 , . . . , Ak } and {B1 , . . . , Bk }.




                          Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Further research

      It would be interesting to study the interpolation problem for
      general families {A1 , . . . , Ak } and {B1 , . . . , Bk }.
      It is closely related to dilation theory and the study of spectral
      inequalities relating a Hermitian matrix and its principal
      submatrices.




                           Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Further research

      It would be interesting to study the interpolation problem for
      general families {A1 , . . . , Ak } and {B1 , . . . , Bk }.
      It is closely related to dilation theory and the study of spectral
      inequalities relating a Hermitian matrix and its principal
      submatrices.
      For given A1 , . . . , Ak ∈ Hn , it is interesting to characterize the
      compact convex set CPm (A1 , . . . , Ak ) of k-tuples of matrices
                             k
      (B1 , . . . , Bk ) ∈ Hm such that

                       (B1 , . . . , Bk ) = (L(A1 ), . . . , L(Ak ))

      for some completely positive linear map L : Mn → Mm .




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Further research

      It would be interesting to study the interpolation problem for
      general families {A1 , . . . , Ak } and {B1 , . . . , Bk }.
      It is closely related to dilation theory and the study of spectral
      inequalities relating a Hermitian matrix and its principal
      submatrices.
      For given A1 , . . . , Ak ∈ Hn , it is interesting to characterize the
      compact convex set CPm (A1 , . . . , Ak ) of k-tuples of matrices
                             k
      (B1 , . . . , Bk ) ∈ Hm such that

                       (B1 , . . . , Bk ) = (L(A1 ), . . . , L(Ak ))

      for some completely positive linear map L : Mn → Mm .
      The problem is interesting even when k = 1.




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
Further research

      It would be interesting to study the interpolation problem for
      general families {A1 , . . . , Ak } and {B1 , . . . , Bk }.
      It is closely related to dilation theory and the study of spectral
      inequalities relating a Hermitian matrix and its principal
      submatrices.
      For given A1 , . . . , Ak ∈ Hn , it is interesting to characterize the
      compact convex set CPm (A1 , . . . , Ak ) of k-tuples of matrices
                             k
      (B1 , . . . , Bk ) ∈ Hm such that

                       (B1 , . . . , Bk ) = (L(A1 ), . . . , L(Ak ))

      for some completely positive linear map L : Mn → Mm .
      The problem is interesting even when k = 1.
      It is also interesting to impose restriction on the Karus (Choi) rank
      r of the completely positive linear map L(A) = j=1 Fj AFj† .
                                                           r




                            Chi-Kwong Li    Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that

                        L(Aj ) = Bj ,       j = 1, . . . , k,




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that

                        L(Aj ) = Bj ,       j = 1, . . . , k,

  and
                                  [L(Eij )] ≥ 0.




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that

                        L(Aj ) = Bj ,       j = 1, . . . , k,

  and
                                  [L(Eij )] ≥ 0.

  We may impose additional conditons such as:




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that

                        L(Aj ) = Bj ,       j = 1, . . . , k,

  and
                                  [L(Eij )] ≥ 0.

  We may impose additional conditons such as:

        L(In ) = Im (unital).




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that

                        L(Aj ) = Bj ,       j = 1, . . . , k,

  and
                                  [L(Eij )] ≥ 0.

  We may impose additional conditons such as:

        L(In ) = Im (unital).

        Tr L(Eij ) = δij for 1 ≤ i, j ≤ n (trace preserving).




                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
A computaional approach

  Derive numerical scheme (using gradient flow, positive semi-definite
  programming, etc.) to solve the following:
  Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that

                        L(Aj ) = Bj ,       j = 1, . . . , k,

  and
                                  [L(Eij )] ≥ 0.

  We may impose additional conditons such as:

        L(In ) = Im (unital).

        Tr L(Eij ) = δij for 1 ≤ i, j ≤ n (trace preserving).

        The sum of r × r principal submatrix of L: Sr (L) = 0 for a given r
        (L has rank less than r).


                             Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Any comments and suggestions are welcome!




            Chi-Kwong Li   Quantum Operations and Completely Positive Maps
Any comments and suggestions are welcome!
       Thank you for your attention!




             Chi-Kwong Li   Quantum Operations and Completely Positive Maps

More Related Content

What's hot

Wave Motion Theory Part1
Wave Motion Theory Part1Wave Motion Theory Part1
Wave Motion Theory Part1
Lakshmikanta Satapathy
 
2010 Phy V1
2010 Phy V12010 Phy V1
2010 Phy V1
luxvis
 
Quantum computing - A Compilation of Concepts
Quantum computing - A Compilation of ConceptsQuantum computing - A Compilation of Concepts
Quantum computing - A Compilation of Concepts
Gokul Alex
 
Quantized and finite reference of frame
Quantized and finite reference of frame Quantized and finite reference of frame
Quantized and finite reference of frame
Eran Sinbar
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum Computing
t0pgun
 
Quantum Computing and Quantum Supremacy at Google
Quantum Computing and Quantum Supremacy at GoogleQuantum Computing and Quantum Supremacy at Google
Quantum Computing and Quantum Supremacy at Google
inside-BigData.com
 
Real Time Spectroscopy
Real Time SpectroscopyReal Time Spectroscopy
Real Time Spectroscopy
Claudio Attaccalite
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
Davide Nardone
 
Wien2k getting started
Wien2k getting startedWien2k getting started
Wien2k getting started
ABDERRAHMANE REGGAD
 
Sthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practice
Sthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practiceSthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practice
Sthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practice
StHack
 

What's hot (14)

Wave Motion Theory Part1
Wave Motion Theory Part1Wave Motion Theory Part1
Wave Motion Theory Part1
 
2010 Phy V1
2010 Phy V12010 Phy V1
2010 Phy V1
 
Quantum computing - A Compilation of Concepts
Quantum computing - A Compilation of ConceptsQuantum computing - A Compilation of Concepts
Quantum computing - A Compilation of Concepts
 
ENG1040 Lec03
ENG1040 Lec03ENG1040 Lec03
ENG1040 Lec03
 
Lecture 17
Lecture 17Lecture 17
Lecture 17
 
ENG1040 Lec06
ENG1040 Lec06ENG1040 Lec06
ENG1040 Lec06
 
Quantized and finite reference of frame
Quantized and finite reference of frame Quantized and finite reference of frame
Quantized and finite reference of frame
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum Computing
 
Quantum Computing and Quantum Supremacy at Google
Quantum Computing and Quantum Supremacy at GoogleQuantum Computing and Quantum Supremacy at Google
Quantum Computing and Quantum Supremacy at Google
 
OPTICALQuantum
OPTICALQuantumOPTICALQuantum
OPTICALQuantum
 
Real Time Spectroscopy
Real Time SpectroscopyReal Time Spectroscopy
Real Time Spectroscopy
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
 
Wien2k getting started
Wien2k getting startedWien2k getting started
Wien2k getting started
 
Sthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practice
Sthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practiceSthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practice
Sthack 2015 - Renaud "@nono2357" Lifchitz - Quantum computing in practice
 

Viewers also liked

1 a problem not even duct tape can fix(1)
1 a problem not even duct tape can fix(1)1 a problem not even duct tape can fix(1)
1 a problem not even duct tape can fix(1)
reichm
 
Powerpoint arantxa
Powerpoint arantxaPowerpoint arantxa
Powerpoint arantxa
arantxa_bega
 
3 p mc mm chi hazards 2014 presentation
3 p mc mm chi hazards 2014 presentation3 p mc mm chi hazards 2014 presentation
3 p mc mm chi hazards 2014 presentation
reichm
 
Ssep experiment restrictions
Ssep experiment restrictionsSsep experiment restrictions
Ssep experiment restrictions
likeda
 
3 egger chi2014
3 egger chi20143 egger chi2014
3 egger chi2014
reichm
 
1 seismic risks, transportation networks, and resilient communities 2
1 seismic risks, transportation networks, and resilient communities 21 seismic risks, transportation networks, and resilient communities 2
1 seismic risks, transportation networks, and resilient communities 2
reichm
 
3 april 4th presentation cds
3 april 4th presentation cds3 april 4th presentation cds
3 april 4th presentation cds
reichm
 
2 earthquake damage modeling
2 earthquake damage modeling2 earthquake damage modeling
2 earthquake damage modeling
reichm
 
The Ballad of Genghis Khan
The Ballad of Genghis KhanThe Ballad of Genghis Khan
The Ballad of Genghis Khanjanelangston
 
1.crustal deformation earthquakes
1.crustal deformation earthquakes1.crustal deformation earthquakes
1.crustal deformation earthquakes
reichm
 
1.evb infrastructure risks
1.evb infrastructure risks1.evb infrastructure risks
1.evb infrastructure risks
reichm
 
Oscar wilde webquest
Oscar wilde webquestOscar wilde webquest
Oscar wilde webquest
alvaro1919
 
1 risk communication and hazards
1 risk communication and hazards1 risk communication and hazards
1 risk communication and hazards
reichm
 
The Ballad of Genghis Khan
The Ballad of Genghis KhanThe Ballad of Genghis Khan
The Ballad of Genghis Khanjanelangston
 
Studies on next generation access technology using radio over free space opti...
Studies on next generation access technology using radio over free space opti...Studies on next generation access technology using radio over free space opti...
Studies on next generation access technology using radio over free space opti...wtyru1989
 
Student email access
Student email accessStudent email access
Student email access
likeda
 
Zoback 2014 04 risk resilience_cw_ufinal
Zoback 2014 04 risk resilience_cw_ufinalZoback 2014 04 risk resilience_cw_ufinal
Zoback 2014 04 risk resilience_cw_ufinal
reichm
 

Viewers also liked (18)

1 a problem not even duct tape can fix(1)
1 a problem not even duct tape can fix(1)1 a problem not even duct tape can fix(1)
1 a problem not even duct tape can fix(1)
 
Powerpoint arantxa
Powerpoint arantxaPowerpoint arantxa
Powerpoint arantxa
 
3 p mc mm chi hazards 2014 presentation
3 p mc mm chi hazards 2014 presentation3 p mc mm chi hazards 2014 presentation
3 p mc mm chi hazards 2014 presentation
 
1sem4 and 5
1sem4 and 51sem4 and 5
1sem4 and 5
 
Ssep experiment restrictions
Ssep experiment restrictionsSsep experiment restrictions
Ssep experiment restrictions
 
3 egger chi2014
3 egger chi20143 egger chi2014
3 egger chi2014
 
1 seismic risks, transportation networks, and resilient communities 2
1 seismic risks, transportation networks, and resilient communities 21 seismic risks, transportation networks, and resilient communities 2
1 seismic risks, transportation networks, and resilient communities 2
 
3 april 4th presentation cds
3 april 4th presentation cds3 april 4th presentation cds
3 april 4th presentation cds
 
2 earthquake damage modeling
2 earthquake damage modeling2 earthquake damage modeling
2 earthquake damage modeling
 
The Ballad of Genghis Khan
The Ballad of Genghis KhanThe Ballad of Genghis Khan
The Ballad of Genghis Khan
 
1.crustal deformation earthquakes
1.crustal deformation earthquakes1.crustal deformation earthquakes
1.crustal deformation earthquakes
 
1.evb infrastructure risks
1.evb infrastructure risks1.evb infrastructure risks
1.evb infrastructure risks
 
Oscar wilde webquest
Oscar wilde webquestOscar wilde webquest
Oscar wilde webquest
 
1 risk communication and hazards
1 risk communication and hazards1 risk communication and hazards
1 risk communication and hazards
 
The Ballad of Genghis Khan
The Ballad of Genghis KhanThe Ballad of Genghis Khan
The Ballad of Genghis Khan
 
Studies on next generation access technology using radio over free space opti...
Studies on next generation access technology using radio over free space opti...Studies on next generation access technology using radio over free space opti...
Studies on next generation access technology using radio over free space opti...
 
Student email access
Student email accessStudent email access
Student email access
 
Zoback 2014 04 risk resilience_cw_ufinal
Zoback 2014 04 risk resilience_cw_ufinalZoback 2014 04 risk resilience_cw_ufinal
Zoback 2014 04 risk resilience_cw_ufinal
 

Similar to Quantum operations and completely positive linear maps

Quantum computing meghaditya
Quantum computing meghadityaQuantum computing meghaditya
Quantum computing meghaditya
Meghaditya Roy Chaudhury
 
2007 001-motivation-to-quantum-computing
2007 001-motivation-to-quantum-computing2007 001-motivation-to-quantum-computing
2007 001-motivation-to-quantum-computing
Vipul Kumar
 
Quantum Computing Basics
Quantum Computing BasicsQuantum Computing Basics
Quantum Computing Basics
Christian Waha
 
Let's build a quantum computer!
Let's build a quantum computer!Let's build a quantum computer!
Let's build a quantum computer!
Andreas Dewes
 
Quantum Computation For AI
Quantum Computation For AIQuantum Computation For AI
Quantum Computation For AI
Prasenjit Mukherjee
 
Fundamentals of Quantum Computing
Fundamentals of Quantum ComputingFundamentals of Quantum Computing
Fundamentals of Quantum Computing
achakracu
 
What is Quantum Computing and Why it is Important
What is Quantum Computing and Why it is ImportantWhat is Quantum Computing and Why it is Important
What is Quantum Computing and Why it is Important
Sasha Lazarevic
 
Quantum Computation Introduction
Quantum Computation IntroductionQuantum Computation Introduction
Quantum Computation Introduction
The Chinese University of Hong Kong
 
Reinhard (1).ppt
Reinhard (1).pptReinhard (1).ppt
Reinhard (1).ppt
akhilgupta391173
 
ML Reading Group (Intro to Quantum Computation)
ML Reading Group (Intro to Quantum Computation)ML Reading Group (Intro to Quantum Computation)
ML Reading Group (Intro to Quantum Computation)
Antonin Hoskovec
 
QX Simulator and quantum programming - 2020-04-28
QX Simulator and quantum programming - 2020-04-28QX Simulator and quantum programming - 2020-04-28
QX Simulator and quantum programming - 2020-04-28
Aritra Sarkar
 
Introduction to Quantum Computing
Introduction to Quantum ComputingIntroduction to Quantum Computing
Introduction to Quantum Computing
GDSC PJATK
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
mrevanth
 
1542 inner products
1542 inner products1542 inner products
1542 inner products
Dr Fereidoun Dejahang
 
Quantum Computation.pptx
Quantum Computation.pptxQuantum Computation.pptx
Quantum Computation.pptx
KHATWANGADHARREDDY
 
Luo_SC_mc_butorqwertyuiomabsvsbsbsjC.ppt
Luo_SC_mc_butorqwertyuiomabsvsbsbsjC.pptLuo_SC_mc_butorqwertyuiomabsvsbsbsjC.ppt
Luo_SC_mc_butorqwertyuiomabsvsbsbsjC.ppt
ChiragSuresh
 
Introduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdfIntroduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdf
sunnypatil1778
 
The Evolution of Quantum Computers
The Evolution of Quantum ComputersThe Evolution of Quantum Computers
The Evolution of Quantum Computers
Subhadra Sundar Chakraborty
 

Similar to Quantum operations and completely positive linear maps (20)

Ieee lecture
Ieee lectureIeee lecture
Ieee lecture
 
Quantum computing meghaditya
Quantum computing meghadityaQuantum computing meghaditya
Quantum computing meghaditya
 
2007 001-motivation-to-quantum-computing
2007 001-motivation-to-quantum-computing2007 001-motivation-to-quantum-computing
2007 001-motivation-to-quantum-computing
 
Quantum Computing Basics
Quantum Computing BasicsQuantum Computing Basics
Quantum Computing Basics
 
Let's build a quantum computer!
Let's build a quantum computer!Let's build a quantum computer!
Let's build a quantum computer!
 
Quantum Computation For AI
Quantum Computation For AIQuantum Computation For AI
Quantum Computation For AI
 
Fundamentals of Quantum Computing
Fundamentals of Quantum ComputingFundamentals of Quantum Computing
Fundamentals of Quantum Computing
 
What is Quantum Computing and Why it is Important
What is Quantum Computing and Why it is ImportantWhat is Quantum Computing and Why it is Important
What is Quantum Computing and Why it is Important
 
Quantum Computation Introduction
Quantum Computation IntroductionQuantum Computation Introduction
Quantum Computation Introduction
 
Reinhard (1).ppt
Reinhard (1).pptReinhard (1).ppt
Reinhard (1).ppt
 
ML Reading Group (Intro to Quantum Computation)
ML Reading Group (Intro to Quantum Computation)ML Reading Group (Intro to Quantum Computation)
ML Reading Group (Intro to Quantum Computation)
 
QX Simulator and quantum programming - 2020-04-28
QX Simulator and quantum programming - 2020-04-28QX Simulator and quantum programming - 2020-04-28
QX Simulator and quantum programming - 2020-04-28
 
Introduction to Quantum Computing
Introduction to Quantum ComputingIntroduction to Quantum Computing
Introduction to Quantum Computing
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
 
1542 inner products
1542 inner products1542 inner products
1542 inner products
 
MASTER_THESIS-libre
MASTER_THESIS-libreMASTER_THESIS-libre
MASTER_THESIS-libre
 
Quantum Computation.pptx
Quantum Computation.pptxQuantum Computation.pptx
Quantum Computation.pptx
 
Luo_SC_mc_butorqwertyuiomabsvsbsbsjC.ppt
Luo_SC_mc_butorqwertyuiomabsvsbsbsjC.pptLuo_SC_mc_butorqwertyuiomabsvsbsbsjC.ppt
Luo_SC_mc_butorqwertyuiomabsvsbsbsjC.ppt
 
Introduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdfIntroduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdf
 
The Evolution of Quantum Computers
The Evolution of Quantum ComputersThe Evolution of Quantum Computers
The Evolution of Quantum Computers
 

More from wtyru1989

Quantum optical measurement
Quantum optical measurementQuantum optical measurement
Quantum optical measurement
wtyru1989
 
Gaussian discord imperial
Gaussian discord imperialGaussian discord imperial
Gaussian discord imperialwtyru1989
 
Entropic characteristics of quantum channels and the additivity problem
Entropic characteristics of quantum channels and the additivity problemEntropic characteristics of quantum channels and the additivity problem
Entropic characteristics of quantum channels and the additivity problemwtyru1989
 
Manipulating continuous variable photonic entanglement
Manipulating continuous variable photonic entanglementManipulating continuous variable photonic entanglement
Manipulating continuous variable photonic entanglementwtyru1989
 
The gaussian minimum entropy conjecture
The gaussian minimum entropy conjectureThe gaussian minimum entropy conjecture
The gaussian minimum entropy conjecturewtyru1989
 
The security of quantum cryptography
The security of quantum cryptographyThe security of quantum cryptography
The security of quantum cryptographywtyru1989
 
Entanglement of formation
Entanglement of formationEntanglement of formation
Entanglement of formationwtyru1989
 
Bound entanglement is not rare
Bound entanglement is not rareBound entanglement is not rare
Bound entanglement is not rarewtyru1989
 
Continuous variable quantum entanglement and its applications
Continuous variable quantum entanglement and its applicationsContinuous variable quantum entanglement and its applications
Continuous variable quantum entanglement and its applicationswtyru1989
 
Relative entropy and_squahed_entanglement
Relative entropy and_squahed_entanglementRelative entropy and_squahed_entanglement
Relative entropy and_squahed_entanglementwtyru1989
 
Lect12 photodiode detectors
Lect12 photodiode detectorsLect12 photodiode detectors
Lect12 photodiode detectors
wtyru1989
 
Towards a one shot entanglement theory
Towards a one shot entanglement theoryTowards a one shot entanglement theory
Towards a one shot entanglement theory
wtyru1989
 
Postselection technique for quantum channels and applications for qkd
Postselection technique for quantum channels and applications for qkdPostselection technique for quantum channels and applications for qkd
Postselection technique for quantum channels and applications for qkd
wtyru1989
 
Encrypting with entanglement matthias christandl
Encrypting with entanglement matthias christandlEncrypting with entanglement matthias christandl
Encrypting with entanglement matthias christandl
wtyru1989
 
Qkd and de finetti theorem
Qkd and de finetti theoremQkd and de finetti theorem
Qkd and de finetti theorem
wtyru1989
 
Dic rd theory_quantization_07
Dic rd theory_quantization_07Dic rd theory_quantization_07
Dic rd theory_quantization_07
wtyru1989
 
Lattices, sphere packings, spherical codes
Lattices, sphere packings, spherical codesLattices, sphere packings, spherical codes
Lattices, sphere packings, spherical codes
wtyru1989
 
标量量化
标量量化标量量化
标量量化
wtyru1989
 
Fully understanding cmrr taiwan-2012
Fully understanding cmrr taiwan-2012Fully understanding cmrr taiwan-2012
Fully understanding cmrr taiwan-2012
wtyru1989
 

More from wtyru1989 (20)

Quantum optical measurement
Quantum optical measurementQuantum optical measurement
Quantum optical measurement
 
Gaussian discord imperial
Gaussian discord imperialGaussian discord imperial
Gaussian discord imperial
 
Entropic characteristics of quantum channels and the additivity problem
Entropic characteristics of quantum channels and the additivity problemEntropic characteristics of quantum channels and the additivity problem
Entropic characteristics of quantum channels and the additivity problem
 
Manipulating continuous variable photonic entanglement
Manipulating continuous variable photonic entanglementManipulating continuous variable photonic entanglement
Manipulating continuous variable photonic entanglement
 
The gaussian minimum entropy conjecture
The gaussian minimum entropy conjectureThe gaussian minimum entropy conjecture
The gaussian minimum entropy conjecture
 
The security of quantum cryptography
The security of quantum cryptographyThe security of quantum cryptography
The security of quantum cryptography
 
Entanglement of formation
Entanglement of formationEntanglement of formation
Entanglement of formation
 
Bound entanglement is not rare
Bound entanglement is not rareBound entanglement is not rare
Bound entanglement is not rare
 
Continuous variable quantum entanglement and its applications
Continuous variable quantum entanglement and its applicationsContinuous variable quantum entanglement and its applications
Continuous variable quantum entanglement and its applications
 
Relative entropy and_squahed_entanglement
Relative entropy and_squahed_entanglementRelative entropy and_squahed_entanglement
Relative entropy and_squahed_entanglement
 
Lect12 photodiode detectors
Lect12 photodiode detectorsLect12 photodiode detectors
Lect12 photodiode detectors
 
Towards a one shot entanglement theory
Towards a one shot entanglement theoryTowards a one shot entanglement theory
Towards a one shot entanglement theory
 
Postselection technique for quantum channels and applications for qkd
Postselection technique for quantum channels and applications for qkdPostselection technique for quantum channels and applications for qkd
Postselection technique for quantum channels and applications for qkd
 
Encrypting with entanglement matthias christandl
Encrypting with entanglement matthias christandlEncrypting with entanglement matthias christandl
Encrypting with entanglement matthias christandl
 
Qkd and de finetti theorem
Qkd and de finetti theoremQkd and de finetti theorem
Qkd and de finetti theorem
 
Dic rd theory_quantization_07
Dic rd theory_quantization_07Dic rd theory_quantization_07
Dic rd theory_quantization_07
 
Lattices, sphere packings, spherical codes
Lattices, sphere packings, spherical codesLattices, sphere packings, spherical codes
Lattices, sphere packings, spherical codes
 
Em method
Em methodEm method
Em method
 
标量量化
标量量化标量量化
标量量化
 
Fully understanding cmrr taiwan-2012
Fully understanding cmrr taiwan-2012Fully understanding cmrr taiwan-2012
Fully understanding cmrr taiwan-2012
 

Recently uploaded

Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Product School
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Ana-Maria Mihalceanu
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
ThousandEyes
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
Cheryl Hung
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Tobias Schneck
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Paul Groth
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
Elena Simperl
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 

Recently uploaded (20)

Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR EventsMonitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
 
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyesAssuring Contact Center Experiences for Your Customers With ThousandEyes
Assuring Contact Center Experiences for Your Customers With ThousandEyes
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
 
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMsTo Graph or Not to Graph Knowledge Graph Architectures and LLMs
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
 
Knowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and backKnowledge engineering: from people to machines and back
Knowledge engineering: from people to machines and back
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 

Quantum operations and completely positive linear maps

  • 1. Quantum Operations and Completely Positive Linear Maps Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia, USA Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 2. Quantum Operations and Completely Positive Linear Maps Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia, USA Currently visiting GWU and NRL. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 3. Quantum Operations and Completely Positive Linear Maps Chi-Kwong Li Department of Mathematics The College of William and Mary Williamsburg, Virginia, USA Currently visiting GWU and NRL. Joint work with Yiu-Tung Poon (Iowa State University). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 4. Classical computing Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 5. Classical computing Hardware - Beads and bars. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 6. Classical computing Hardware - Beads and bars. Input - Using finger skill to change the states of the device. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 7. Classical computing Hardware - Beads and bars. Input - Using finger skill to change the states of the device. Processor - Mechanical process with algorithms based on elementary arithmetic rules. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 8. Classical computing Hardware - Beads and bars. Input - Using finger skill to change the states of the device. Processor - Mechanical process with algorithms based on elementary arithmetic rules. Output - Beads and bars, then recorded by brush and ink. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 9. Modern Computing Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 10. Modern Computing Hardware - Mechanical/electronic/integrated circuits. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 11. Modern Computing Hardware - Mechanical/electronic/integrated circuits. Input - Punch cards, keyboards, scanners, sounds, etc. all converted to binary bits - (0, 1) sequences. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 12. Modern Computing Hardware - Mechanical/electronic/integrated circuits. Input - Punch cards, keyboards, scanners, sounds, etc. all converted to binary bits - (0, 1) sequences. Processor - Manipulations of (0, 1) sequences using Boolean logic. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 13. Modern Computing 0∨0=0 0∨1=1 1∨0=1 1∨1=1 Hardware - Mechanical/electronic/integrated circuits. Input - Punch cards, keyboards, scanners, sounds, etc. all converted to binary bits - (0, 1) sequences. Processor - Manipulations of (0, 1) sequences using Boolean logic. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 14. Modern Computing 0∨0=0 0∨1=1 1∨0=1 1∨1=1 Hardware - Mechanical/electronic/integrated circuits. Input - Punch cards, keyboards, scanners, sounds, etc. all converted to binary bits - (0, 1) sequences. Processor - Manipulations of (0, 1) sequences using Boolean logic. Output - (0, 1) sequences realized as visual images, which can be viewed or printed. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 15. Quantum computing Quantum Computing Unit −→ −→ Optical lattices, NMR Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 16. Quantum computing Quantum Computing Unit −→ −→ Optical lattices, NMR Hardware - Super conductor, trapped ions, optical lattices, quantum dot, MNR, etc. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 17. Quantum computing Quantum Computing Unit −→ −→ Optical lattices, NMR Hardware - Super conductor, trapped ions, optical lattices, quantum dot, MNR, etc. Input - Quantum states in a specific form - Quantum bits (Qubits). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 18. Quantum computing Quantum Computing Unit −→ −→ Optical lattices, NMR Hardware - Super conductor, trapped ions, optical lattices, quantum dot, MNR, etc. Input - Quantum states in a specific form - Quantum bits (Qubits). Processor - Provide suitable environment for the quantum system of qubits to evolve. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 19. Quantum computing Quantum Computing Unit −→ −→ Optical lattices, NMR Hardware - Super conductor, trapped ions, optical lattices, quantum dot, MNR, etc. Input - Quantum states in a specific form - Quantum bits (Qubits). Processor - Provide suitable environment for the quantum system of qubits to evolve. Output - Measurement of the resulting quantum states. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 20. Quantum computing Quantum Computing Unit −→ −→ Optical lattices, NMR Hardware - Super conductor, trapped ions, optical lattices, quantum dot, MNR, etc. Input - Quantum states in a specific form - Quantum bits (Qubits). Processor - Provide suitable environment for the quantum system of qubits to evolve. Output - Measurement of the resulting quantum states. All these require the understanding of mathematics, physics, chemistry, computer sciences, engineering, etc. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 21. Mathematical formulation (by von Neumann) Suppose a quantum system have two (discrete) measurable physical sates, say, up spin and down spin of a particle represented by Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 22. Mathematical formulation (by von Neumann) Suppose a quantum system have two (discrete) measurable physical sates, say, up spin and down spin of a particle represented by 1 0 |0 = and |1 = . 0 1 Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 23. Mathematical formulation (by von Neumann) Suppose a quantum system have two (discrete) measurable physical sates, say, up spin and down spin of a particle represented by 1 0 |0 = and |1 = . 0 1 Before measurement, the vector state may be in superposition state represented by a complex vector α v = |ψ = α|0 + β|1 = ∈ C2 , |α|2 + |β|2 = 1. β Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 24. Mathematical formulation (by von Neumann) Suppose a quantum system have two (discrete) measurable physical sates, say, up spin and down spin of a particle represented by 1 0 |0 = and |1 = . 0 1 Before measurement, the vector state may be in superposition state represented by a complex vector α v = |ψ = α|0 + β|1 = ∈ C2 , |α|2 + |β|2 = 1. β One can apply a quantum operation to a state in superposition. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 25. Mathematical formulation (by von Neumann) Suppose a quantum system have two (discrete) measurable physical sates, say, up spin and down spin of a particle represented by 1 0 |0 = and |1 = . 0 1 Before measurement, the vector state may be in superposition state represented by a complex vector α v = |ψ = α|0 + β|1 = ∈ C2 , |α|2 + |β|2 = 1. β One can apply a quantum operation to a state in superposition. That is the famous “phenomenon” that one can apply a transformation to the half alive and half dead Schrödinger cat. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 26. Matrix formulation It is convenient to represent the quantum state |ψ as a rank one orthogonal projection: 1 1+z x + iy Q = |ψ ψ| = 2 x − iy 1−z with x, y, z ∈ R such that x2 + y 2 + z 2 = 1. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 27. Matrix formulation It is convenient to represent the quantum state |ψ as a rank one orthogonal projection: 1 1+z x + iy Q = |ψ ψ| = 2 x − iy 1−z with x, y, z ∈ R such that x2 + y 2 + z 2 = 1. There is a Bloch sphere representation of a qubit Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 28. Tensor product and complexity The state of k qubits is represented as the tensor product of k 2 × 2 matrices Q1 ⊗ · · · ⊗ Qk . Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 29. Tensor product and complexity The state of k qubits is represented as the tensor product of k 2 × 2 matrices Q1 ⊗ · · · ⊗ Qk . Recall that for matrices X = (xij ) and Y (may be of different sizes), X ⊗ Y = (xij Y ). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 30. Tensor product and complexity The state of k qubits is represented as the tensor product of k 2 × 2 matrices Q1 ⊗ · · · ⊗ Qk . Recall that for matrices X = (xij ) and Y (may be of different sizes), X ⊗ Y = (xij Y ). General entangled states are represented as 2k × 2k density matrices, i.e., trace one positive semidefinite matrices. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 31. Tensor product and complexity The state of k qubits is represented as the tensor product of k 2 × 2 matrices Q1 ⊗ · · · ⊗ Qk . Recall that for matrices X = (xij ) and Y (may be of different sizes), X ⊗ Y = (xij Y ). General entangled states are represented as 2k × 2k density matrices, i.e., trace one positive semidefinite matrices. For k = 1000, we have 21000 = (210 )100 ≈ 10300 . If a high speed computer can do 1015 operations per second, to do one operation on each of the states, Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 32. Tensor product and complexity The state of k qubits is represented as the tensor product of k 2 × 2 matrices Q1 ⊗ · · · ⊗ Qk . Recall that for matrices X = (xij ) and Y (may be of different sizes), X ⊗ Y = (xij Y ). General entangled states are represented as 2k × 2k density matrices, i.e., trace one positive semidefinite matrices. For k = 1000, we have 21000 = (210 )100 ≈ 10300 . If a high speed computer can do 1015 operations per second, to do one operation on each of the states, one needs 1030 /1015 = 1015 seconds > 300, 000 centuries! Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 33. Quantum operations Solving the Schrödinger equation, one sees that quantum operations (channels) on a closed system are unitary similarity transform on quatnum states ρ (represented as density matrices), i.e., ρ(t) → Ut ρ0 Ut† . Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 34. Quantum operations Solving the Schrödinger equation, one sees that quantum operations (channels) on a closed system are unitary similarity transform on quatnum states ρ (represented as density matrices), i.e., ρ(t) → Ut ρ0 Ut† . When the state ρ of principal system interacts (involuntarily) with the state ρE of the (external) environment, one would trace out the environment so that Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 35. Quantum operations Solving the Schrödinger equation, one sees that quantum operations (channels) on a closed system are unitary similarity transform on quatnum states ρ (represented as density matrices), i.e., ρ(t) → Ut ρ0 Ut† . When the state ρ of principal system interacts (involuntarily) with the state ρE of the (external) environment, one would trace out the environment so that r ρ(t) → Tr E (Ut (ρ ⊗ ρE )Ut† ) = Fj ρFj† j=1 Fj† Fj = I. r for some m × n matrices F1 , . . . , Fr satisfying j=1 Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 36. Completely positive linear maps Let Mn be the set of n × n complex matrices, Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 37. Completely positive linear maps Let Mn be the set of n × n complex matrices, Hn be the set of n × n complex Hermitian matrices. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 38. Completely positive linear maps Let Mn be the set of n × n complex matrices, Hn be the set of n × n complex Hermitian matrices. A map L : Mn → Mm is completely positive if L admits an operator sum representation r L(A) = Fj AFj† , j=1 where F1 , . . . , Fr are m × n complex matrices. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 39. Completely positive linear maps Let Mn be the set of n × n complex matrices, Hn be the set of n × n complex Hermitian matrices. A map L : Mn → Mm is completely positive if L admits an operator sum representation r L(A) = Fj AFj† , j=1 where F1 , . . . , Fr are m × n complex matrices. Fj Fj† = Im ; r In addition, L is unital if L(In ) = Im , equivalently, j=1 Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 40. Completely positive linear maps Let Mn be the set of n × n complex matrices, Hn be the set of n × n complex Hermitian matrices. A map L : Mn → Mm is completely positive if L admits an operator sum representation r L(A) = Fj AFj† , j=1 where F1 , . . . , Fr are m × n complex matrices. Fj Fj† = Im ; r In addition, L is unital if L(In ) = Im , equivalently, j=1 Fj† Fj = In . r L is trace preserving if Tr A = Tr L(A), equivalently, j=1 Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 41. General problems Since every quantum operation / channel is a trace preserving completely positive linear map, it is interesting to study the following. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 42. General problems Since every quantum operation / channel is a trace preserving completely positive linear map, it is interesting to study the following. Question Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace preserving) completely positive linear map satisfying L(Aj ) = Bj for all j = 1, . . . , k? Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 43. General problems Since every quantum operation / channel is a trace preserving completely positive linear map, it is interesting to study the following. Question Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace preserving) completely positive linear map satisfying L(Aj ) = Bj for all j = 1, . . . , k? It is also interesting to consider the following related problems. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 44. General problems Since every quantum operation / channel is a trace preserving completely positive linear map, it is interesting to study the following. Question Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace preserving) completely positive linear map satisfying L(Aj ) = Bj for all j = 1, . . . , k? It is also interesting to consider the following related problems. Understand the duality relation between the trace preserving completely positive linear maps and the unital preserving completely positive linear maps. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 45. General problems Since every quantum operation / channel is a trace preserving completely positive linear map, it is interesting to study the following. Question Given A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm , is there a (unital/trace preserving) completely positive linear map satisfying L(Aj ) = Bj for all j = 1, . . . , k? It is also interesting to consider the following related problems. Understand the duality relation between the trace preserving completely positive linear maps and the unital preserving completely positive linear maps. Determine / deduce properties of L based on the information of L(A) for some special matrices A. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 46. Basic results For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by λ(A) = (λ1 (A), . . . , λn (A)). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 47. Basic results For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by λ(A) = (λ1 (A), . . . , λn (A)). Definition For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if the sum of entries of x is the same as that of y, and the sum of the k largest entries of x is not larger than that of y for k = 1, . . . , k − 1. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 48. Basic results For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by λ(A) = (λ1 (A), . . . , λn (A)). Definition For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if the sum of entries of x is the same as that of y, and the sum of the k largest entries of x is not larger than that of y for k = 1, . . . , k − 1. Example (5, 4, 1) (7, 3, 0), (5, 4, 1) (6, 2, 2), (6, 2, 2) (5, 4, 1). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 49. Basic results For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by λ(A) = (λ1 (A), . . . , λn (A)). Definition For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if the sum of entries of x is the same as that of y, and the sum of the k largest entries of x is not larger than that of y for k = 1, . . . , k − 1. Example (5, 4, 1) (7, 3, 0), (5, 4, 1) (6, 2, 2), (6, 2, 2) (5, 4, 1). It is known that x y if and only if there is a doubly stochastic matrix D such that x = yD. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 50. Basic results For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by λ(A) = (λ1 (A), . . . , λn (A)). Definition For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if the sum of entries of x is the same as that of y, and the sum of the k largest entries of x is not larger than that of y for k = 1, . . . , k − 1. Example (5, 4, 1) (7, 3, 0), (5, 4, 1) (6, 2, 2), (6, 2, 2) (5, 4, 1). It is known that x y if and only if there is a doubly stochastic matrix D such that x = yD. Recall that a nonnegative matrix D is row (respectively, column) stochastic if D have all row (respectively, column) sums equal to one; Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 51. Basic results For A ∈ Hn with eigenvalues λ1 (A) ≥ · · · ≥ λn (A), denote by λ(A) = (λ1 (A), . . . , λn (A)). Definition For x, y ∈ R1×m , we say that x is majorized by y, denoted by x y, if the sum of entries of x is the same as that of y, and the sum of the k largest entries of x is not larger than that of y for k = 1, . . . , k − 1. Example (5, 4, 1) (7, 3, 0), (5, 4, 1) (6, 2, 2), (6, 2, 2) (5, 4, 1). It is known that x y if and only if there is a doubly stochastic matrix D such that x = yD. Recall that a nonnegative matrix D is row (respectively, column) stochastic if D have all row (respectively, column) sums equal to one; D is doubly stochastic if all row and column sums equal one. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 52. Theorem Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of the positive (respectively, negative) eigenvalues of A. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 53. Theorem Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of the positive (respectively, negative) eigenvalues of A. The following conditions are equivalent. There is a trace preserving completely positive linear map L : Mn → Mm such that L(A) = B. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 54. Theorem Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of the positive (respectively, negative) eigenvalues of A. The following conditions are equivalent. There is a trace preserving completely positive linear map L : Mn → Mm such that L(A) = B. λ(B) (a+ , 0, . . . , 0, a− ) in R1×m . Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 55. Theorem Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of the positive (respectively, negative) eigenvalues of A. The following conditions are equivalent. There is a trace preserving completely positive linear map L : Mn → Mm such that L(A) = B. λ(B) (a+ , 0, . . . , 0, a− ) in R1×m . There is an n × m row stochastic matrix D with the first k rows all equal and the last n − k rows all equal such that λ(B) = λ(A)D. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 56. Theorem Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of the positive (respectively, negative) eigenvalues of A. The following conditions are equivalent. There is a trace preserving completely positive linear map L : Mn → Mm such that L(A) = B. λ(B) (a+ , 0, . . . , 0, a− ) in R1×m . There is an n × m row stochastic matrix D with the first k rows all equal and the last n − k rows all equal such that λ(B) = λ(A)D. One can use D to construct m × n matrices F1 , . . . , Fr with r = max(m, n) such that B = j=1 Fj AFj† and j=1 Fj† Fj = In . r r Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 57. Theorem Suppose A ∈ Hn and B ∈ Hm . Let a+ (respectively, a− ) be the sum of the positive (respectively, negative) eigenvalues of A. The following conditions are equivalent. There is a trace preserving completely positive linear map L : Mn → Mm such that L(A) = B. λ(B) (a+ , 0, . . . , 0, a− ) in R1×m . There is an n × m row stochastic matrix D with the first k rows all equal and the last n − k rows all equal such that λ(B) = λ(A)D. One can use D to construct m × n matrices F1 , . . . , Fr with r = max(m, n) such that B = j=1 Fj AFj† and j=1 Fj† Fj = In . r r Remark For density matrices A and B, the condition trivially holds. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 58. Theorem Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 59. Theorem Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent. There is a unital completely positive linear map L such that L(A) = B. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 60. Theorem Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent. There is a unital completely positive linear map L such that L(A) = B. λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 61. Theorem Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent. There is a unital completely positive linear map L such that L(A) = B. λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m. There is an n × m column stochastic matrix D such that λ(B) = λ(A)D. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 62. Theorem Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent. There is a unital completely positive linear map L such that L(A) = B. λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m. There is an n × m column stochastic matrix D such that λ(B) = λ(A)D. Remark The condition may fail even if A and B are density matrices. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 63. Theorem Let A ∈ Hn and B ∈ Hm . The following conditions are equivalent. There is a unital completely positive linear map L such that L(A) = B. λn (A) ≤ λj (B) ≤ λ1 (A) for all j = 1, . . . , m. There is an n × m column stochastic matrix D such that λ(B) = λ(A)D. Remark The condition may fail even if A and B are density matrices. Question Can we deduce this result from the previous one using duality of completely positive linear map? Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 64. Question Assume there is a unital completely positive map sending A to B, and also a trace preserving completely positive map sending A to B. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 65. Question Assume there is a unital completely positive map sending A to B, and also a trace preserving completely positive map sending A to B. Is there a unital trace preserving completely positive map sending A to B? Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 66. Question Assume there is a unital completely positive map sending A to B, and also a trace preserving completely positive map sending A to B. Is there a unital trace preserving completely positive map sending A to B? The following example shows that the answer is negative. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 67. Question Assume there is a unital completely positive map sending A to B, and also a trace preserving completely positive map sending A to B. Is there a unital trace preserving completely positive map sending A to B? The following example shows that the answer is negative. Example Suppose A = diag (4, 1, 1, 0) and B = diag (3, 3, 0, 0). Then there is a trace preserving completely positive map sending A to B, and also a unital completely positive map sending A to B. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 68. Question Assume there is a unital completely positive map sending A to B, and also a trace preserving completely positive map sending A to B. Is there a unital trace preserving completely positive map sending A to B? The following example shows that the answer is negative. Example Suppose A = diag (4, 1, 1, 0) and B = diag (3, 3, 0, 0). Then there is a trace preserving completely positive map sending A to B, and also a unital completely positive map sending A to B. But there is no trace preserving completely positive linear map sending A1 to B1 if A1 = A − I4 = diag (3, 0, 0, −1) and B1 = B − I4 = diag (2, 2, −1, −1). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 69. Question Assume there is a unital completely positive map sending A to B, and also a trace preserving completely positive map sending A to B. Is there a unital trace preserving completely positive map sending A to B? The following example shows that the answer is negative. Example Suppose A = diag (4, 1, 1, 0) and B = diag (3, 3, 0, 0). Then there is a trace preserving completely positive map sending A to B, and also a unital completely positive map sending A to B. But there is no trace preserving completely positive linear map sending A1 to B1 if A1 = A − I4 = diag (3, 0, 0, −1) and B1 = B − I4 = diag (2, 2, −1, −1). Hence, there is no unital trace preserving completely positive map sending A to B. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 70. Theorem Let A, B ∈ Hn . The following conditions are equivalent. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 71. Theorem Let A, B ∈ Hn . The following conditions are equivalent. There exists a unital trace preserving completely positive map L such that L(A) = B. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 72. Theorem Let A, B ∈ Hn . The following conditions are equivalent. There exists a unital trace preserving completely positive map L such that L(A) = B. For each t ∈ R, there exists a trace preserving completely positive map L such that L(A − tI) = B − tI. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 73. Theorem Let A, B ∈ Hn . The following conditions are equivalent. There exists a unital trace preserving completely positive map L such that L(A) = B. For each t ∈ R, there exists a trace preserving completely positive map L such that L(A − tI) = B − tI. λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that λ(B) = λ(A)D. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 74. Theorem Let A, B ∈ Hn . The following conditions are equivalent. There exists a unital trace preserving completely positive map L such that L(A) = B. For each t ∈ R, there exists a trace preserving completely positive map L such that L(A − tI) = B − tI. λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that λ(B) = λ(A)D. There is a unitary U ∈ Mn such that U AU † has diagonal entries λ1 (B), . . . , λn (B). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 75. Theorem Let A, B ∈ Hn . The following conditions are equivalent. There exists a unital trace preserving completely positive map L such that L(A) = B. For each t ∈ R, there exists a trace preserving completely positive map L such that L(A − tI) = B − tI. λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that λ(B) = λ(A)D. There is a unitary U ∈ Mn such that U AU † has diagonal entries λ1 (B), . . . , λn (B). There exist unitary matrices Uj , 1 ≤ j ≤ n such that 1 n † B = n j=1 Uj AUj . Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 76. Theorem Let A, B ∈ Hn . The following conditions are equivalent. There exists a unital trace preserving completely positive map L such that L(A) = B. For each t ∈ R, there exists a trace preserving completely positive map L such that L(A − tI) = B − tI. λ(B) λ(A). i.e., there is a doubly stochastic matrix D such that λ(B) = λ(A)D. There is a unitary U ∈ Mn such that U AU † has diagonal entries λ1 (B), . . . , λn (B). There exist unitary matrices Uj , 1 ≤ j ≤ n such that 1 n † B = n j=1 Uj AUj . B is in the convex hull of the unitary orbit U(A) of A: {U AU † : U unitary}. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 77. Results and questions on multiple matrices Theorem Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices. Then there is a unital / trace preserving / unital and trace preserving completely positive linear maps L such that L(Aj ) = Bj for j = 1, . . . , k Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 78. Results and questions on multiple matrices Theorem Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices. Then there is a unital / trace preserving / unital and trace preserving completely positive linear maps L such that L(Aj ) = Bj for j = 1, . . . , k if and only if there is an n × m column / row / doubly stochastic matrix D such that d(Bj ) = d(Aj )D for j = 1, . . . , k. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 79. Results and questions on multiple matrices Theorem Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices. Then there is a unital / trace preserving / unital and trace preserving completely positive linear maps L such that L(Aj ) = Bj for j = 1, . . . , k if and only if there is an n × m column / row / doubly stochastic matrix D such that d(Bj ) = d(Aj )D for j = 1, . . . , k. Here d(R) is the vector of diagonal entries of the square matrix R. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 80. Results and questions on multiple matrices Theorem Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices. Then there is a unital / trace preserving / unital and trace preserving completely positive linear maps L such that L(Aj ) = Bj for j = 1, . . . , k if and only if there is an n × m column / row / doubly stochastic matrix D such that d(Bj ) = d(Aj )D for j = 1, . . . , k. Here d(R) is the vector of diagonal entries of the square matrix R. Remark Evidently, the result can be applied to commuting families {A1 , . . . , Ak } and {B1 , . . . , Bk }. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 81. Results and questions on multiple matrices Theorem Suppose A1 , . . . , Ak ∈ Mn and B1 , . . . , Bk ∈ Mm are diagonal matrices. Then there is a unital / trace preserving / unital and trace preserving completely positive linear maps L such that L(Aj ) = Bj for j = 1, . . . , k if and only if there is an n × m column / row / doubly stochastic matrix D such that d(Bj ) = d(Aj )D for j = 1, . . . , k. Here d(R) is the vector of diagonal entries of the square matrix R. Remark Evidently, the result can be applied to commuting families {A1 , . . . , Ak } and {B1 , . . . , Bk }. Question What about non-commuting families? Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 82. Further research It would be interesting to study the interpolation problem for general families {A1 , . . . , Ak } and {B1 , . . . , Bk }. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 83. Further research It would be interesting to study the interpolation problem for general families {A1 , . . . , Ak } and {B1 , . . . , Bk }. It is closely related to dilation theory and the study of spectral inequalities relating a Hermitian matrix and its principal submatrices. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 84. Further research It would be interesting to study the interpolation problem for general families {A1 , . . . , Ak } and {B1 , . . . , Bk }. It is closely related to dilation theory and the study of spectral inequalities relating a Hermitian matrix and its principal submatrices. For given A1 , . . . , Ak ∈ Hn , it is interesting to characterize the compact convex set CPm (A1 , . . . , Ak ) of k-tuples of matrices k (B1 , . . . , Bk ) ∈ Hm such that (B1 , . . . , Bk ) = (L(A1 ), . . . , L(Ak )) for some completely positive linear map L : Mn → Mm . Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 85. Further research It would be interesting to study the interpolation problem for general families {A1 , . . . , Ak } and {B1 , . . . , Bk }. It is closely related to dilation theory and the study of spectral inequalities relating a Hermitian matrix and its principal submatrices. For given A1 , . . . , Ak ∈ Hn , it is interesting to characterize the compact convex set CPm (A1 , . . . , Ak ) of k-tuples of matrices k (B1 , . . . , Bk ) ∈ Hm such that (B1 , . . . , Bk ) = (L(A1 ), . . . , L(Ak )) for some completely positive linear map L : Mn → Mm . The problem is interesting even when k = 1. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 86. Further research It would be interesting to study the interpolation problem for general families {A1 , . . . , Ak } and {B1 , . . . , Bk }. It is closely related to dilation theory and the study of spectral inequalities relating a Hermitian matrix and its principal submatrices. For given A1 , . . . , Ak ∈ Hn , it is interesting to characterize the compact convex set CPm (A1 , . . . , Ak ) of k-tuples of matrices k (B1 , . . . , Bk ) ∈ Hm such that (B1 , . . . , Bk ) = (L(A1 ), . . . , L(Ak )) for some completely positive linear map L : Mn → Mm . The problem is interesting even when k = 1. It is also interesting to impose restriction on the Karus (Choi) rank r of the completely positive linear map L(A) = j=1 Fj AFj† . r Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 87. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 88. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that L(Aj ) = Bj , j = 1, . . . , k, Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 89. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that L(Aj ) = Bj , j = 1, . . . , k, and [L(Eij )] ≥ 0. Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 90. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that L(Aj ) = Bj , j = 1, . . . , k, and [L(Eij )] ≥ 0. We may impose additional conditons such as: Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 91. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that L(Aj ) = Bj , j = 1, . . . , k, and [L(Eij )] ≥ 0. We may impose additional conditons such as: L(In ) = Im (unital). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 92. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that L(Aj ) = Bj , j = 1, . . . , k, and [L(Eij )] ≥ 0. We may impose additional conditons such as: L(In ) = Im (unital). Tr L(Eij ) = δij for 1 ≤ i, j ≤ n (trace preserving). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 93. A computaional approach Derive numerical scheme (using gradient flow, positive semi-definite programming, etc.) to solve the following: Given A1 , . . . , Ak ∈ Hn , B1 , . . . , Bk ∈ Hm , determine L such that L(Aj ) = Bj , j = 1, . . . , k, and [L(Eij )] ≥ 0. We may impose additional conditons such as: L(In ) = Im (unital). Tr L(Eij ) = δij for 1 ≤ i, j ≤ n (trace preserving). The sum of r × r principal submatrix of L: Sr (L) = 0 for a given r (L has rank less than r). Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 94. Any comments and suggestions are welcome! Chi-Kwong Li Quantum Operations and Completely Positive Maps
  • 95. Any comments and suggestions are welcome! Thank you for your attention! Chi-Kwong Li Quantum Operations and Completely Positive Maps