SlideShare a Scribd company logo
1 of 60
Presented by:
Lacie Zimmerman
Adam Serdar
Jacquie Otto
Paul Weiss
Alice and Bob’sAlice and Bob’s
Excellent AdventureExcellent Adventure
• Brief Review of Quantum Mechanics
• Quantum Circuits/Gates
• No-Cloning
• Distinguishability of Quantum States
• Superdense Coding
• Quantum Teleportation
What’s to Come…What’s to Come…
Dirac Bra-Ket NotationDirac Bra-Ket Notation
Notation
Inner Products
Outer Products
Bra-Ket Notation Involves
Vector Xn can be represented two
ways
Ket
|n>
















z
y
x
w
v
Bra
<n| = |n>t
( )*****
zyxwv
*
m is the complex conjugate of m.
Inner Products
An Inner Product is a Bra multiplied by a Ket
<a| |b> can be simplified to <a|b>
=<a|b> =
















p
o
n
m
l
( )*****
zyxwv
*****
pzoynxmwlv ++++
Outer Products
An Outer Product is a Ket multiplied by a Bra
|a><b| =
















p
o
n
m
l
=
















*****
*****
*****
*****
*****
pzpypxpwpv
ozoyoxowov
nznynxnwnv
mzmymxmwmv
lzlylxlwlv
( )*****
zyxwv
By Definition ( ) acbcba =
• State Space: The inner product space
associated with an isolated quantum system.
•The system at any given time is described by a
“state”, which is a unit vector in V.
n
CV /=
• Simplest state space - (Qubit)
If and form a basis for ,
then an arbitrary qubit state has the form
, where a and b in
have .
• Qubit state differs from a bit because
“superpositions” of a qubit state are possible.
2
CV /=
〉0| 〉1| V
〉+〉=〉 1|0|| bax C/
1|||| 22
=+ ba
The evolution of an isolated quantum system is
described by a unitary operator on its state
space.
The state is related to the state by a
unitary operator .
i.e.,
〉)(| 2tψ〉)(| 1tψ
2,1 ttU
〉=〉 )(|)(| 1,2 21
tUt tt ψψ
Quantum measurements are described by a
finite set of projections, {Pm}, acting on the
state space of the system being measured.
• If is the state of the system immediately
before the measurement.
•Then the probability that the result m occurs is
given by .
〉ψ|
〉〈= ψψ ||)( mPmp
• If the result m occurs, then the state of the
system immediately after the measurement is
)(
|
||
|
2/1
mp
P
P
P m
m
m 〉
=
〉〈
〉 ψ
ψψ
ψ
• The state space of a composite quantum system
is the tensor product of the state of its
components.
• If the systems numbered 1 through n are
prepared in states , i = 1,…, n, then the
joint state of the total composite system is
.
〉)(| itψ
〉⋅⊗⋅⋅⊗〉 nψψ || 1
Quantum Uncertainty and
Quantum Circuits
Classical Circuits vs. Quantum Circuits
Hadamard Gates
C-not Gates
Bell States
Other Important Quantum Circuit Items
Classical Circuits
vs.
Quantum Circuits
Classical Circuits based upon bits, which are
represented with on and off states. These states
are usually alternatively represented by 1 and 0
respectively.
The medium of transportation of a bit is a
conductive material, usually a copper wire or
something similar. The 1 or 0 is represented with
2 different levels of current through the wire.
Circuits Continued…
Quantum circuits use electron “spin” to hold
their information, instead of the conductor
that a classical circuit uses.
While a classical circuit uses transistors to
perform logic, quantum circuits use
“quantum gates” such as the Hadamard
Gates.
Hadamard Gates
Hadamard Gates can perform logic and are
usually used to initialize states and to add
random information to a circuit.
Hadamard Gates are represented
mathematically by the Hadamard Matrix which
is below.






−
=
11
11
2
1
H
Circuit Diagram of a
Hadamard Gate
Hx y
When represented in a Quantum Circuit
Diagram, a Hadamard Gate looks like this:
Where the x is the input qubit and the y is
the output qubit.
C-Not Gates
C-not Gates are one of the basic 2-qubit gates in
quantum computing. C-not is short for controlled
not, which means that one qubit (target qubit) is
flipped if the other qubit (control qubit) is |1>,
otherwise the target qubit is left alone.
The mathematical representation of a C-Not Gate
is below.












=
0100
1000
0010
0001
CNU
Circuit Diagram of a C-Not Gate
x
y
x
yx ⊕
When represented in a Quantum Circuit
Diagram, a C-Not Gate looks like this:
Where x is the control qubit and y is the
target qubit.
Bell States
Bell States are sets of qubits that are entangled.
They can be created with the following Quantum
Circuit called a Bell State Generator:
With H being a Hadamard Gate and x and y
being the input qubits. is the Bell State.
Hx
y
xyβ
β
Bell State Equations
The following equations map the previous Bell State
Generator:
( ) ( ) 001100
2
1
0000
2
1
00 β=+→+→
( ) ( ) 011001
2
1
1101
2
1
01 β=+→+→
( ) ( ) 101100
2
1
1000
2
1
10 β=+→+→
( ) ( ) 111001
2
1
1101
2
1
11 β=+→+→
So we can write: ( )
2
110 yy
x
xy
−+
=β
Other Important Quantum
Circuit Items
• Controlled U-Gates
• Measurement Devices
Controlled U-Gate
A Controlled U-Gate is an extension of a C-Not
Gate. Where a C-Not Gate works on one qubit
based upon a control qubit, a U-Gate works on
many qubits based upon a control qubit.
A Controlled U-Gate can be represented with the
following diagram:
U
n n
Where n is the number of qubits the gate is
acting on.
Measurement Devices
These devices convert a qubit state into a
probabilistic classical bit.
It can be represented in a diagram with the
following:
Ψ M
x
A measurement with x possible outcomes has x
wires coming from the device that measures it.
Cloning of a
Quantum
State
Cloning
Can copying of an unknown qubit
state really happen?
By copy we mean:
1. Take a quantum state
2. Perform an operation
3. End with an exact copy of
Z
Z
Using a Classical Idea
• A classical CNOT gate can be used for an
unknown bit x
• Let x be the control bit and 0 be the target
• Send x0  xx where  is a CNOT gate
• Yields an exact copy of x in the classical
setting
Move the Logic to Quantum
States
• Given a qubit in an unknown quantum state
such that
• Through a CNOT gate we take 
such that
• Note if indeed we copied we would thus
end up with which would equal
Z 1b0aZ +=
Z ZZ0
10b00a0)1b0(a +=+
Z
ZZ
11b²10ab01ab00a² +++
Limits on Copying
Note that:
only at ab=0 and for a and b being or
11b²10ab01ab00a²10b00a +++=+
0 1
Proving the difficulty of cloning
• Suppose there was a copying machine
• Such that can be copied with a standard
state
• This gives an initial state which when
the unitary operation U is applied yields
SZ
( ) ZZSZU =
Z
S
…difficulty cloning
• Let
• By taking inner products of both sides:
• From this we can see that: = 0 or 1
• Therefore this must be true: or
• Thus if the machine can successfully copy it is
highly unlikely that the machine will copy an
arbitrary unknown state unless is
orthogonal to
yy== )syU(&zz)szU(
²yzyz =
yz
yz ⊥ y=z
z
z
y y
Final cloning summary
• Cloning is improbable.
• Basically all that can be accomplished is
what we know as a cut-n-paste.
• Original data is lost.
• The process of this will be shown in the
teleportation section soon to follow.
Distinguishability
• To determine the state of an element in the
set:
• This must be true:
-
• Finding the probability of observing a
specific state , let be the measurement
such that
n21
y,...,y,y
n21 y...yy ⊥⊥⊥
mmm
yyP =
my mP
Distinguishability cont.
• Then the probability that m will be observed is:
-
• Which yields
• Because the set is orthogonal
-
• If the set was not orthogonal we couldn’t know for
certain that m will be observed.
mm
y|P|yP(m) m=
mmmm yyyyP(m) =
111P(m) =×=
Cloning and
Distinguishability
• Take some quantum information
• Send it from one place to another
• Original is destroyed because it can’t just be
cloned (copied)
• Basically it must be combined with some
orthogonal group or distinguishing the quantum
state with absolute certainty is impossible.
• Pauli Matrices
• Alice & Bob
• The Conditions
• How it Works






=
01
10
X





 −
=
0
0
i
i
Y






−
=
10
01
Z
THE CONDITIONS…
• Alice and Bob are a long way from one
another.
• Alice wants to transmit some classical
information in the form of a 2-bit to Bob.
HOW IT WORKS…
• Alice and Bob initially share a 2-qubit in the
entangled Bell state
which is just a pair of quantum particles.
( )
2
1100 +
=Ψ
HOW IT WORKS…
• is a fixed state and it is not necessary for
Alice to send any qubits to Bob to prepare
this state.
• For example, a third party may prepare the
entangled state ahead of time, sending one of
the qubits to Alice and the other to Bob.
Ψ
HOW IT WORKS…
1) Alice keeps the first qubit (particle).
2) Bob keeps the second qubit (particle).
3) Bob moves far away from Alice.
HOW IT WORKS…
• The 2-bit that Alice wishes to send to Bob
determines what quantum gate she must
apply to her qubit before she sends it to
Bob.
The four resulting states are:
( )
( )
.)(:11
,:10
,)(:01
,:00
11
10
01
00
β
β
β
β
=ΨΙ⊗Υ
=ΨΙ⊗Ζ
=ΨΙ⊗Χ
=Ψ=ΨΙ⊗Ι
i
HOW IT WORKS…
• Since Bob is in possession of both qubits,
he can perform a measurement on this Bell
basis and reliably determine which of the
four possible 2-bits Alice sent.
TeleportationTeleportation
What is it used for?
Teleportation Circuit
TeleportationTeleportation
•Teleportation is sending unknown quantum
information not classical information.
•Teleportation starts just like Superdense coding.
•Alice and Bob each take half of the 2-qubit Bell
state:
•Alice takes the first qubit (particle) and Bob
moves with the other particle to another location.
( ) 2/110000 +=β
TeleportationTeleportation
•Alice wants to teleport to Bob:
•She combines the qubit with her half of the
Bell state and sends the resulting 3-qubit (the 2
qubits-Alice & 1 qubit-Bob) through the
Teleportation circuit (shown on the next slide):
ψ
ψ
TeleportationTeleportation
CircuitCircuit
Top 2 wires represent Alice's system
Bottom wire represents Bob’s system
43210
2
1
Z
ψψψψψ
ψxy
X
M
MH
•⊕
•ψ
00β {
Single line denotes
quantum information
being transmitted
Double line denotes
classical info being
transmitted
TeleportationTeleportation
CircuitCircuit
( ) ( )[ ]1100111000
2
1
10
000 +++==
+=
ba
ba
βψψ
ψ
Initial State
43210
2
1
Z
ψψψψψ
ψxy
X
M
MH
•⊕
•ψ
00β {
TeleportationTeleportation
CircuitCircuit
After Applying the C-Not gate to Alice’s bits:
( ) ( )[ ]0110111000
2
1
1 +++= baψ
43210
2
1
Z
ψψψψψ
ψxy
X
M
MH
•⊕
•ψ
00β
C-Not gate
{
TeleportationTeleportation
CircuitCircuit
( ) ( )
( ) ( ) 







−+−
++++
=
01111010
01011000
2
1
2
baba
baba
ψ
After applying the Hadamard gate to the first qubit:
43210
2
1
Z
ψψψψψ
ψxy
X
M
MH
•⊕
•ψ
00β
Hadamard gate
{
TeleportationTeleportation
CircuitCircuit
.0111,1010
,0101,1000
33
33
baba
baba
−=⇒−=⇒
+=⇒+=⇒
ψψ
ψψ
After Alice observes/measures her 2 qubits, she
sends the resulting classical information to Bob:
43210
2
1
Z
ψψψψψ
ψxy
X
M
MH
•⊕
•ψ
00β {
Measurement
devices
TeleportationTeleportation
CircuitCircuit
43210
2
1
Z
ψψψψψ
ψxy
X
M
MH
•⊕
•ψ
00β {
( ) .101001:11
,1010:10
,1001:01
,:00
43
11
43
01
43
10
433
00
ψψ
ψψ
ψψ
ψψψ
=+=−=−=
=+=−=
=+=+=
==
babZaZbXaXZXZ
babZaZXZ
babXaXXZ
IXZ
Bob applies the appropriate quantum gate to his
qubit based on the classical information from Alice:
TeleportationTeleportation
Bob finally recovers the initial qubit
that Alice teleported to him.
ψψ =4
ConclusionConclusion
• Brief Review of Quantum Mechanics
• Quantum Circuits/Gates
– Classical Gates vs. Quantum Gates
– Hadamard Gates
– C-not Gates
– Bell States
Conclusion, cont.Conclusion, cont.
• No-Cloning
• Distinguishability of Quantum States
• Superdense Coding
- Pauli Matrices
- The Conditions
- How it Works
Conclusion, cont.Conclusion, cont.
• Quantum Teleportation
- What is it used for?
- Teleportation Circuit
Bibliography
http://en.wikipedia.org/wiki/Inner_product_space
http://vergil.chemistry.gatech.edu/notes/quantrev/node14.html
http://en2.wikipedia.org/wiki/Linear_operator
http://vergil.chemistry.gatech.edu/notes/quantrev/node17.html
http://www.doc.ic.ad.uk/~nd/surprise_97/journal/vol4/spb3/
http://www-theory.chem.washington.edu/~trstedl/quantum/quantum.html
Gudder, S. (2003-March). Quantum Computation. American Mathmatical
Monthly. 110, no. 3,181-188.
Special Thanks to:
Dr. Steve Deckelman

More Related Content

What's hot

Quantum mechanics for Engineering Students
Quantum mechanics for Engineering StudentsQuantum mechanics for Engineering Students
Quantum mechanics for Engineering StudentsPraveen Vaidya
 
Vector calculus
Vector calculusVector calculus
Vector calculusKumar
 
Beta & Gamma Functions
Beta & Gamma FunctionsBeta & Gamma Functions
Beta & Gamma FunctionsDrDeepaChauhan
 
Linear Convolution using Matlab Code
Linear Convolution  using Matlab CodeLinear Convolution  using Matlab Code
Linear Convolution using Matlab CodeBharti Airtel Ltd.
 
orthogonal matrix and its properties
orthogonal matrix and its propertiesorthogonal matrix and its properties
orthogonal matrix and its propertiesGOVINDKUMAR689610
 
Non linear Dynamical Control Systems
Non linear Dynamical Control SystemsNon linear Dynamical Control Systems
Non linear Dynamical Control SystemsArslan Ahmed Amin
 
Kittel c. introduction to solid state physics 8 th edition - solution manual
Kittel c.  introduction to solid state physics 8 th edition - solution manualKittel c.  introduction to solid state physics 8 th edition - solution manual
Kittel c. introduction to solid state physics 8 th edition - solution manualamnahnura
 
First order non-linear partial differential equation & its applications
First order non-linear partial differential equation & its applicationsFirst order non-linear partial differential equation & its applications
First order non-linear partial differential equation & its applicationsJayanshu Gundaniya
 
Quantum computing in machine learning
Quantum computing in machine learningQuantum computing in machine learning
Quantum computing in machine learningkhalidhassan105
 
Invering and non inverting amplifiers
Invering and non inverting amplifiersInvering and non inverting amplifiers
Invering and non inverting amplifiersMuhammad Mohsin
 
Presentation mathmatic 3
Presentation mathmatic 3Presentation mathmatic 3
Presentation mathmatic 3nashaat algrara
 

What's hot (20)

Quantum mechanics for Engineering Students
Quantum mechanics for Engineering StudentsQuantum mechanics for Engineering Students
Quantum mechanics for Engineering Students
 
Vector calculus
Vector calculusVector calculus
Vector calculus
 
Beta & Gamma Functions
Beta & Gamma FunctionsBeta & Gamma Functions
Beta & Gamma Functions
 
Advance Quantum Mechanics
Advance Quantum Mechanics Advance Quantum Mechanics
Advance Quantum Mechanics
 
Vector analysis
Vector analysisVector analysis
Vector analysis
 
Linear Convolution using Matlab Code
Linear Convolution  using Matlab CodeLinear Convolution  using Matlab Code
Linear Convolution using Matlab Code
 
Galilean Transformation Equations
Galilean Transformation EquationsGalilean Transformation Equations
Galilean Transformation Equations
 
orthogonal matrix and its properties
orthogonal matrix and its propertiesorthogonal matrix and its properties
orthogonal matrix and its properties
 
statistic mechanics
statistic mechanicsstatistic mechanics
statistic mechanics
 
1619 quantum computing
1619 quantum computing1619 quantum computing
1619 quantum computing
 
Non linear Dynamical Control Systems
Non linear Dynamical Control SystemsNon linear Dynamical Control Systems
Non linear Dynamical Control Systems
 
Kittel c. introduction to solid state physics 8 th edition - solution manual
Kittel c.  introduction to solid state physics 8 th edition - solution manualKittel c.  introduction to solid state physics 8 th edition - solution manual
Kittel c. introduction to solid state physics 8 th edition - solution manual
 
First order non-linear partial differential equation & its applications
First order non-linear partial differential equation & its applicationsFirst order non-linear partial differential equation & its applications
First order non-linear partial differential equation & its applications
 
Vector space
Vector spaceVector space
Vector space
 
Quantum computing in machine learning
Quantum computing in machine learningQuantum computing in machine learning
Quantum computing in machine learning
 
Invering and non inverting amplifiers
Invering and non inverting amplifiersInvering and non inverting amplifiers
Invering and non inverting amplifiers
 
Magnetic Potentials
Magnetic PotentialsMagnetic Potentials
Magnetic Potentials
 
Vector Calculus.
Vector Calculus.Vector Calculus.
Vector Calculus.
 
Presentation mathmatic 3
Presentation mathmatic 3Presentation mathmatic 3
Presentation mathmatic 3
 
Anamolous zeeman effect
Anamolous zeeman effectAnamolous zeeman effect
Anamolous zeeman effect
 

Viewers also liked

Viewers also liked (11)

MSc Thesis
MSc ThesisMSc Thesis
MSc Thesis
 
Ibm quantum computing
Ibm quantum computingIbm quantum computing
Ibm quantum computing
 
Quantum Computing in a Nutshell: Grover's Search and the World of Quantum Com...
Quantum Computing in a Nutshell: Grover's Search and the World of Quantum Com...Quantum Computing in a Nutshell: Grover's Search and the World of Quantum Com...
Quantum Computing in a Nutshell: Grover's Search and the World of Quantum Com...
 
Quantum Teleportation
Quantum TeleportationQuantum Teleportation
Quantum Teleportation
 
Quantum teleportation
Quantum  teleportationQuantum  teleportation
Quantum teleportation
 
Quantum teleportation
Quantum teleportationQuantum teleportation
Quantum teleportation
 
Quantum computing - Introduction
Quantum computing - IntroductionQuantum computing - Introduction
Quantum computing - Introduction
 
Quantum Computers
Quantum ComputersQuantum Computers
Quantum Computers
 
Quantum computer ppt
Quantum computer pptQuantum computer ppt
Quantum computer ppt
 
Quantum programming
Quantum programmingQuantum programming
Quantum programming
 
Quantum dots ppt
Quantum dots pptQuantum dots ppt
Quantum dots ppt
 

Similar to QUANTUM-ADVENTURE

Quantum computing - A Compilation of Concepts
Quantum computing - A Compilation of ConceptsQuantum computing - A Compilation of Concepts
Quantum computing - A Compilation of ConceptsGokul Alex
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.pptAbhayGill3
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.pptRaja Shekar
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.pptAjayRaj912848
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.pptraju980973
 
quantumComputers (1).ppt
quantumComputers (1).pptquantumComputers (1).ppt
quantumComputers (1).pptharithasahasra
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.pptTrushaKyada
 
quantumComputers.pptICICI-An HR perspective
quantumComputers.pptICICI-An HR perspectivequantumComputers.pptICICI-An HR perspective
quantumComputers.pptICICI-An HR perspectiveBenjinkumarNimmala
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.pptAdnan kHAN
 
hddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdh
hddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdhhddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdh
hddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdhzoobiarana76
 
Quantum Computing Notes Ver 1.2
Quantum Computing Notes Ver 1.2Quantum Computing Notes Ver 1.2
Quantum Computing Notes Ver 1.2Vijayananda Mohire
 
Quantum computing
Quantum computingQuantum computing
Quantum computingRitwik MG
 
QC - UNIT 1.ppt
QC - UNIT 1.pptQC - UNIT 1.ppt
QC - UNIT 1.pptkhan188474
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum Computingt0pgun
 

Similar to QUANTUM-ADVENTURE (20)

Quantum computing - A Compilation of Concepts
Quantum computing - A Compilation of ConceptsQuantum computing - A Compilation of Concepts
Quantum computing - A Compilation of Concepts
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers (1).ppt
quantumComputers (1).pptquantumComputers (1).ppt
quantumComputers (1).ppt
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
quantumComputers.pptICICI-An HR perspective
quantumComputers.pptICICI-An HR perspectivequantumComputers.pptICICI-An HR perspective
quantumComputers.pptICICI-An HR perspective
 
quantumComputers.ppt
quantumComputers.pptquantumComputers.ppt
quantumComputers.ppt
 
hddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdh
hddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdhhddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdh
hddhdhdhdhdhdhdhdhdhddhddhdhdhdhddhdhdddhdhdh
 
Quantum Computing Notes Ver 1.2
Quantum Computing Notes Ver 1.2Quantum Computing Notes Ver 1.2
Quantum Computing Notes Ver 1.2
 
Quantum Computation.pptx
Quantum Computation.pptxQuantum Computation.pptx
Quantum Computation.pptx
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
 
Quantum Computation Introduction
Quantum Computation IntroductionQuantum Computation Introduction
Quantum Computation Introduction
 
QC - UNIT 1.ppt
QC - UNIT 1.pptQC - UNIT 1.ppt
QC - UNIT 1.ppt
 
Quantum computing meghaditya
Quantum computing meghadityaQuantum computing meghaditya
Quantum computing meghaditya
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum Computing
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
 

More from Dr Fereidoun Dejahang

27 j20 my news punch -dr f dejahang 27-01-2020
27 j20 my news punch -dr f dejahang  27-01-202027 j20 my news punch -dr f dejahang  27-01-2020
27 j20 my news punch -dr f dejahang 27-01-2020Dr Fereidoun Dejahang
 
028 fast-tracking projects &amp; cost overrun
028 fast-tracking projects &amp; cost overrun028 fast-tracking projects &amp; cost overrun
028 fast-tracking projects &amp; cost overrunDr Fereidoun Dejahang
 
026 fast react-productivity improvement
026 fast react-productivity improvement026 fast react-productivity improvement
026 fast react-productivity improvementDr Fereidoun Dejahang
 
022 b construction productivity-write
022 b construction productivity-write022 b construction productivity-write
022 b construction productivity-writeDr Fereidoun Dejahang
 
016 communication in construction sector
016 communication in construction sector016 communication in construction sector
016 communication in construction sectorDr Fereidoun Dejahang
 
014 changes-cost overrun measurement
014 changes-cost overrun measurement014 changes-cost overrun measurement
014 changes-cost overrun measurementDr Fereidoun Dejahang
 
013 changes in construction projects
013 changes in construction projects013 changes in construction projects
013 changes in construction projectsDr Fereidoun Dejahang
 

More from Dr Fereidoun Dejahang (20)

27 j20 my news punch -dr f dejahang 27-01-2020
27 j20 my news punch -dr f dejahang  27-01-202027 j20 my news punch -dr f dejahang  27-01-2020
27 j20 my news punch -dr f dejahang 27-01-2020
 
28 dej my news punch rev 28-12-2019
28 dej my news punch rev 28-12-201928 dej my news punch rev 28-12-2019
28 dej my news punch rev 28-12-2019
 
16 fd my news punch rev 16-12-2019
16 fd my news punch rev 16-12-201916 fd my news punch rev 16-12-2019
16 fd my news punch rev 16-12-2019
 
029 fast-tracking projects
029 fast-tracking projects029 fast-tracking projects
029 fast-tracking projects
 
028 fast-tracking projects &amp; cost overrun
028 fast-tracking projects &amp; cost overrun028 fast-tracking projects &amp; cost overrun
028 fast-tracking projects &amp; cost overrun
 
027 fast-tracked projects-materials
027 fast-tracked projects-materials027 fast-tracked projects-materials
027 fast-tracked projects-materials
 
026 fast react-productivity improvement
026 fast react-productivity improvement026 fast react-productivity improvement
026 fast react-productivity improvement
 
025 enterprise resources management
025 enterprise resources management025 enterprise resources management
025 enterprise resources management
 
022 b construction productivity-write
022 b construction productivity-write022 b construction productivity-write
022 b construction productivity-write
 
022 a construction productivity (2)
022 a construction productivity (2)022 a construction productivity (2)
022 a construction productivity (2)
 
021 construction productivity (1)
021 construction productivity (1)021 construction productivity (1)
021 construction productivity (1)
 
019 competencies-managers
019 competencies-managers019 competencies-managers
019 competencies-managers
 
018 company productivity
018 company productivity018 company productivity
018 company productivity
 
017 communication
017 communication017 communication
017 communication
 
016 communication in construction sector
016 communication in construction sector016 communication in construction sector
016 communication in construction sector
 
015 changes-process model
015 changes-process model015 changes-process model
015 changes-process model
 
014 changes-cost overrun measurement
014 changes-cost overrun measurement014 changes-cost overrun measurement
014 changes-cost overrun measurement
 
013 changes in construction projects
013 changes in construction projects013 changes in construction projects
013 changes in construction projects
 
012 bussiness planning process
012 bussiness planning process012 bussiness planning process
012 bussiness planning process
 
011 business performance management
011 business performance management011 business performance management
011 business performance management
 

Recently uploaded

Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsanshu789521
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfakmcokerachita
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonJericReyAuditor
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxsocialsciencegdgrohi
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting DataJhengPantaleon
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfSumit Tiwari
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxthorishapillay1
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptxVS Mahajan Coaching Centre
 

Recently uploaded (20)

Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Presiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha electionsPresiding Officer Training module 2024 lok sabha elections
Presiding Officer Training module 2024 lok sabha elections
 
Class 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdfClass 11 Legal Studies Ch-1 Concept of State .pdf
Class 11 Legal Studies Ch-1 Concept of State .pdf
 
Staff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSDStaff of Color (SOC) Retention Efforts DDSD
Staff of Color (SOC) Retention Efforts DDSD
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
Science lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lessonScience lesson Moon for 4th quarter lesson
Science lesson Moon for 4th quarter lesson
 
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptxHistory Class XII Ch. 3 Kinship, Caste and Class (1).pptx
History Class XII Ch. 3 Kinship, Caste and Class (1).pptx
 
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data_Math 4-Q4 Week 5.pptx Steps in Collecting Data
_Math 4-Q4 Week 5.pptx Steps in Collecting Data
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdfEnzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
Enzyme, Pharmaceutical Aids, Miscellaneous Last Part of Chapter no 5th.pdf
 
internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 
Proudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptxProudly South Africa powerpoint Thorisha.pptx
Proudly South Africa powerpoint Thorisha.pptx
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions  for the students and aspirants of Chemistry12th.pptxOrganic Name Reactions  for the students and aspirants of Chemistry12th.pptx
Organic Name Reactions for the students and aspirants of Chemistry12th.pptx
 

QUANTUM-ADVENTURE

  • 1. Presented by: Lacie Zimmerman Adam Serdar Jacquie Otto Paul Weiss Alice and Bob’sAlice and Bob’s Excellent AdventureExcellent Adventure
  • 2. • Brief Review of Quantum Mechanics • Quantum Circuits/Gates • No-Cloning • Distinguishability of Quantum States • Superdense Coding • Quantum Teleportation What’s to Come…What’s to Come…
  • 3. Dirac Bra-Ket NotationDirac Bra-Ket Notation Notation Inner Products Outer Products
  • 4. Bra-Ket Notation Involves Vector Xn can be represented two ways Ket |n>                 z y x w v Bra <n| = |n>t ( )***** zyxwv * m is the complex conjugate of m.
  • 5. Inner Products An Inner Product is a Bra multiplied by a Ket <a| |b> can be simplified to <a|b> =<a|b> =                 p o n m l ( )***** zyxwv ***** pzoynxmwlv ++++
  • 6. Outer Products An Outer Product is a Ket multiplied by a Bra |a><b| =                 p o n m l =                 ***** ***** ***** ***** ***** pzpypxpwpv ozoyoxowov nznynxnwnv mzmymxmwmv lzlylxlwlv ( )***** zyxwv By Definition ( ) acbcba =
  • 7.
  • 8. • State Space: The inner product space associated with an isolated quantum system. •The system at any given time is described by a “state”, which is a unit vector in V. n CV /=
  • 9. • Simplest state space - (Qubit) If and form a basis for , then an arbitrary qubit state has the form , where a and b in have . • Qubit state differs from a bit because “superpositions” of a qubit state are possible. 2 CV /= 〉0| 〉1| V 〉+〉=〉 1|0|| bax C/ 1|||| 22 =+ ba
  • 10. The evolution of an isolated quantum system is described by a unitary operator on its state space. The state is related to the state by a unitary operator . i.e., 〉)(| 2tψ〉)(| 1tψ 2,1 ttU 〉=〉 )(|)(| 1,2 21 tUt tt ψψ
  • 11. Quantum measurements are described by a finite set of projections, {Pm}, acting on the state space of the system being measured.
  • 12. • If is the state of the system immediately before the measurement. •Then the probability that the result m occurs is given by . 〉ψ| 〉〈= ψψ ||)( mPmp
  • 13. • If the result m occurs, then the state of the system immediately after the measurement is )( | || | 2/1 mp P P P m m m 〉 = 〉〈 〉 ψ ψψ ψ
  • 14. • The state space of a composite quantum system is the tensor product of the state of its components. • If the systems numbered 1 through n are prepared in states , i = 1,…, n, then the joint state of the total composite system is . 〉)(| itψ 〉⋅⊗⋅⋅⊗〉 nψψ || 1
  • 15. Quantum Uncertainty and Quantum Circuits Classical Circuits vs. Quantum Circuits Hadamard Gates C-not Gates Bell States Other Important Quantum Circuit Items
  • 16. Classical Circuits vs. Quantum Circuits Classical Circuits based upon bits, which are represented with on and off states. These states are usually alternatively represented by 1 and 0 respectively. The medium of transportation of a bit is a conductive material, usually a copper wire or something similar. The 1 or 0 is represented with 2 different levels of current through the wire.
  • 17. Circuits Continued… Quantum circuits use electron “spin” to hold their information, instead of the conductor that a classical circuit uses. While a classical circuit uses transistors to perform logic, quantum circuits use “quantum gates” such as the Hadamard Gates.
  • 18. Hadamard Gates Hadamard Gates can perform logic and are usually used to initialize states and to add random information to a circuit. Hadamard Gates are represented mathematically by the Hadamard Matrix which is below.       − = 11 11 2 1 H
  • 19. Circuit Diagram of a Hadamard Gate Hx y When represented in a Quantum Circuit Diagram, a Hadamard Gate looks like this: Where the x is the input qubit and the y is the output qubit.
  • 20. C-Not Gates C-not Gates are one of the basic 2-qubit gates in quantum computing. C-not is short for controlled not, which means that one qubit (target qubit) is flipped if the other qubit (control qubit) is |1>, otherwise the target qubit is left alone. The mathematical representation of a C-Not Gate is below.             = 0100 1000 0010 0001 CNU
  • 21. Circuit Diagram of a C-Not Gate x y x yx ⊕ When represented in a Quantum Circuit Diagram, a C-Not Gate looks like this: Where x is the control qubit and y is the target qubit.
  • 22. Bell States Bell States are sets of qubits that are entangled. They can be created with the following Quantum Circuit called a Bell State Generator: With H being a Hadamard Gate and x and y being the input qubits. is the Bell State. Hx y xyβ β
  • 23. Bell State Equations The following equations map the previous Bell State Generator: ( ) ( ) 001100 2 1 0000 2 1 00 β=+→+→ ( ) ( ) 011001 2 1 1101 2 1 01 β=+→+→ ( ) ( ) 101100 2 1 1000 2 1 10 β=+→+→ ( ) ( ) 111001 2 1 1101 2 1 11 β=+→+→ So we can write: ( ) 2 110 yy x xy −+ =β
  • 24. Other Important Quantum Circuit Items • Controlled U-Gates • Measurement Devices
  • 25. Controlled U-Gate A Controlled U-Gate is an extension of a C-Not Gate. Where a C-Not Gate works on one qubit based upon a control qubit, a U-Gate works on many qubits based upon a control qubit. A Controlled U-Gate can be represented with the following diagram: U n n Where n is the number of qubits the gate is acting on.
  • 26. Measurement Devices These devices convert a qubit state into a probabilistic classical bit. It can be represented in a diagram with the following: Ψ M x A measurement with x possible outcomes has x wires coming from the device that measures it.
  • 28. Cloning Can copying of an unknown qubit state really happen? By copy we mean: 1. Take a quantum state 2. Perform an operation 3. End with an exact copy of Z Z
  • 29. Using a Classical Idea • A classical CNOT gate can be used for an unknown bit x • Let x be the control bit and 0 be the target • Send x0  xx where  is a CNOT gate • Yields an exact copy of x in the classical setting
  • 30. Move the Logic to Quantum States • Given a qubit in an unknown quantum state such that • Through a CNOT gate we take  such that • Note if indeed we copied we would thus end up with which would equal Z 1b0aZ += Z ZZ0 10b00a0)1b0(a +=+ Z ZZ 11b²10ab01ab00a² +++
  • 31. Limits on Copying Note that: only at ab=0 and for a and b being or 11b²10ab01ab00a²10b00a +++=+ 0 1
  • 32. Proving the difficulty of cloning • Suppose there was a copying machine • Such that can be copied with a standard state • This gives an initial state which when the unitary operation U is applied yields SZ ( ) ZZSZU = Z S
  • 33. …difficulty cloning • Let • By taking inner products of both sides: • From this we can see that: = 0 or 1 • Therefore this must be true: or • Thus if the machine can successfully copy it is highly unlikely that the machine will copy an arbitrary unknown state unless is orthogonal to yy== )syU(&zz)szU( ²yzyz = yz yz ⊥ y=z z z y y
  • 34. Final cloning summary • Cloning is improbable. • Basically all that can be accomplished is what we know as a cut-n-paste. • Original data is lost. • The process of this will be shown in the teleportation section soon to follow.
  • 35. Distinguishability • To determine the state of an element in the set: • This must be true: - • Finding the probability of observing a specific state , let be the measurement such that n21 y,...,y,y n21 y...yy ⊥⊥⊥ mmm yyP = my mP
  • 36. Distinguishability cont. • Then the probability that m will be observed is: - • Which yields • Because the set is orthogonal - • If the set was not orthogonal we couldn’t know for certain that m will be observed. mm y|P|yP(m) m= mmmm yyyyP(m) = 111P(m) =×=
  • 37. Cloning and Distinguishability • Take some quantum information • Send it from one place to another • Original is destroyed because it can’t just be cloned (copied) • Basically it must be combined with some orthogonal group or distinguishing the quantum state with absolute certainty is impossible.
  • 38. • Pauli Matrices • Alice & Bob • The Conditions • How it Works
  • 40. THE CONDITIONS… • Alice and Bob are a long way from one another. • Alice wants to transmit some classical information in the form of a 2-bit to Bob.
  • 41. HOW IT WORKS… • Alice and Bob initially share a 2-qubit in the entangled Bell state which is just a pair of quantum particles. ( ) 2 1100 + =Ψ
  • 42. HOW IT WORKS… • is a fixed state and it is not necessary for Alice to send any qubits to Bob to prepare this state. • For example, a third party may prepare the entangled state ahead of time, sending one of the qubits to Alice and the other to Bob. Ψ
  • 43. HOW IT WORKS… 1) Alice keeps the first qubit (particle). 2) Bob keeps the second qubit (particle). 3) Bob moves far away from Alice.
  • 44. HOW IT WORKS… • The 2-bit that Alice wishes to send to Bob determines what quantum gate she must apply to her qubit before she sends it to Bob.
  • 45. The four resulting states are: ( ) ( ) .)(:11 ,:10 ,)(:01 ,:00 11 10 01 00 β β β β =ΨΙ⊗Υ =ΨΙ⊗Ζ =ΨΙ⊗Χ =Ψ=ΨΙ⊗Ι i
  • 46. HOW IT WORKS… • Since Bob is in possession of both qubits, he can perform a measurement on this Bell basis and reliably determine which of the four possible 2-bits Alice sent.
  • 47. TeleportationTeleportation What is it used for? Teleportation Circuit
  • 48. TeleportationTeleportation •Teleportation is sending unknown quantum information not classical information. •Teleportation starts just like Superdense coding. •Alice and Bob each take half of the 2-qubit Bell state: •Alice takes the first qubit (particle) and Bob moves with the other particle to another location. ( ) 2/110000 +=β
  • 49. TeleportationTeleportation •Alice wants to teleport to Bob: •She combines the qubit with her half of the Bell state and sends the resulting 3-qubit (the 2 qubits-Alice & 1 qubit-Bob) through the Teleportation circuit (shown on the next slide): ψ ψ
  • 50. TeleportationTeleportation CircuitCircuit Top 2 wires represent Alice's system Bottom wire represents Bob’s system 43210 2 1 Z ψψψψψ ψxy X M MH •⊕ •ψ 00β { Single line denotes quantum information being transmitted Double line denotes classical info being transmitted
  • 51. TeleportationTeleportation CircuitCircuit ( ) ( )[ ]1100111000 2 1 10 000 +++== += ba ba βψψ ψ Initial State 43210 2 1 Z ψψψψψ ψxy X M MH •⊕ •ψ 00β {
  • 52. TeleportationTeleportation CircuitCircuit After Applying the C-Not gate to Alice’s bits: ( ) ( )[ ]0110111000 2 1 1 +++= baψ 43210 2 1 Z ψψψψψ ψxy X M MH •⊕ •ψ 00β C-Not gate {
  • 53. TeleportationTeleportation CircuitCircuit ( ) ( ) ( ) ( )         −+− ++++ = 01111010 01011000 2 1 2 baba baba ψ After applying the Hadamard gate to the first qubit: 43210 2 1 Z ψψψψψ ψxy X M MH •⊕ •ψ 00β Hadamard gate {
  • 54. TeleportationTeleportation CircuitCircuit .0111,1010 ,0101,1000 33 33 baba baba −=⇒−=⇒ +=⇒+=⇒ ψψ ψψ After Alice observes/measures her 2 qubits, she sends the resulting classical information to Bob: 43210 2 1 Z ψψψψψ ψxy X M MH •⊕ •ψ 00β { Measurement devices
  • 55. TeleportationTeleportation CircuitCircuit 43210 2 1 Z ψψψψψ ψxy X M MH •⊕ •ψ 00β { ( ) .101001:11 ,1010:10 ,1001:01 ,:00 43 11 43 01 43 10 433 00 ψψ ψψ ψψ ψψψ =+=−=−= =+=−= =+=+= == babZaZbXaXZXZ babZaZXZ babXaXXZ IXZ Bob applies the appropriate quantum gate to his qubit based on the classical information from Alice:
  • 56. TeleportationTeleportation Bob finally recovers the initial qubit that Alice teleported to him. ψψ =4
  • 57. ConclusionConclusion • Brief Review of Quantum Mechanics • Quantum Circuits/Gates – Classical Gates vs. Quantum Gates – Hadamard Gates – C-not Gates – Bell States
  • 58. Conclusion, cont.Conclusion, cont. • No-Cloning • Distinguishability of Quantum States • Superdense Coding - Pauli Matrices - The Conditions - How it Works
  • 59. Conclusion, cont.Conclusion, cont. • Quantum Teleportation - What is it used for? - Teleportation Circuit

Editor's Notes

  1. Reminiscent of the title, not clear if in either. a squared and b squared represent prob of being in either state.
  2. The index m refers to the measurement outcomes that may occur. The projections satisfy the completeness equation If the state of the system is immediately before the measurement, then the probability that result m occurs is given by ; if the result m occurs, then the state of the system immediately after the measurement is
  3. The index m refers to the measurement outcomes that may occur. The projections satisfy the completeness equation If the state of the system is immediately before the measurement, then the probability that result m occurs is given by ; if the result m occurs, then the state of the system immediately after the measurement is