SlideShare a Scribd company logo
1 of 11
Quantum Computing
INTRODUCTION
• Energy consumption
• Speed
• Qubit
• 0&1
• Superposition state
The world's first quantum computer?
• Orion-2007
• based on superconducting electronics
• Superconductors can be used to build large structures that behave
according to the rules of quantum mechanics
• Less energy consumption
• High performance
• E.g. search for phone number in world phonebook
2 Theory of QC
• 2.1 The power of quantum computers
• Clock speed
• Number of steps to calculate a problem.
• Comparison between QC & CC
• Complexity theory
• Time
• Space
• Energy
• Factoring number in to its prime numbers
• O(e^n1/3) for normal algorithms.
• O(n3) for quantum algorithms.
• Searching unsorted database, Communication tasks etc.
• 2.2 Quantum parallelism
• Reversibility
• Heat generation
• superposition states
• 0 & 1
• 0+1 written as a|0〉 + b|1〉,
• where a and b are complex numbers satisfying |a|^2 + |b|^2 = 1.
• In some sense, this means that a qubit can be in |0〉 and |1〉 at the same time
• An “equal” superposition of |0〉 and |1〉.
• The output state is now a superposition of the two output values. In this
sense, function f is evaluated for both possible input values in one step.
• Two qubits with in a superposition of |0〉 and |1〉
• c0|00〉 + c1|01〉 + c2|10〉 + c3|11〉
• A 2-qubit logic gate g will transform this state to
• c0|g(00)〉 + c1|g(01)〉 + c2|g(10)〉 + c3|g(11)〉 (4)
• So in a sense g has been evaluated for four input values in parallel.
For every extra qubit involved in the computation, the number of
parallel function evaluations doubles. This exponential parallelism
became known as quantum parallelism.
2.4 Requirements and challenges
• Requirements
• a system of qubits.
• the qubits must be individually addressable and must interact with each other
• it must be possible to initialize them to a known state because the result of a
computation generally depends on its input state.
• we must be able to extract a computation result from the qubits by some
measurement.
• Challenges
• Decoherence: This property states that if a coherent state (state with
superposition) interacts with the environment, it will fall into a classical
physics state without superposition
• Zeno effect: States that an unstable particle, if constantly observed, will never
decay into a superpositioned state
• Entanglement: two or more particles can be linked, and if linked, you can
change properties of one particle changing the linked one.
3. FUTURE OF QUANTUM COMPUTING
• Artificial Intelligence
• High performance will allow us in development of complex compression
algorithms
• voice and image recognition
• molecular simulations
• true randomness
• Molecular simulations are important for developing simulation applications
for chemistry and biology
• Cryptography
• Peter Shor’s Algorithm
THANK YOU

More Related Content

What's hot

Multi-particle Entanglement in Quantum States and Evolutions
Multi-particle Entanglement in Quantum States and EvolutionsMulti-particle Entanglement in Quantum States and Evolutions
Multi-particle Entanglement in Quantum States and EvolutionsMatthew Leifer
 
Quantum superposition | Overview
Quantum superposition | OverviewQuantum superposition | Overview
Quantum superposition | OverviewEmanuel Di Nardo
 
Data Structure in Quantum Computing
Data Structure in Quantum ComputingData Structure in Quantum Computing
Data Structure in Quantum ComputingShwetark Deshpande
 
Lecture 3 gl theory
Lecture 3 gl theoryLecture 3 gl theory
Lecture 3 gl theoryAllenHermann
 
Chapter -3 Logarithms
Chapter -3 LogarithmsChapter -3 Logarithms
Chapter -3 LogarithmsGpmMaths
 
Higgsbosontoelectron positron decay14042021_dsply
Higgsbosontoelectron positron decay14042021_dsplyHiggsbosontoelectron positron decay14042021_dsply
Higgsbosontoelectron positron decay14042021_dsplyfoxtrot jp R
 
Post_Number Systems_8.2.1
Post_Number Systems_8.2.1Post_Number Systems_8.2.1
Post_Number Systems_8.2.1Marc King
 
Fluid Simulation methods in Video Games
Fluid Simulation methods in Video GamesFluid Simulation methods in Video Games
Fluid Simulation methods in Video GamesReza Nezami
 
Data Mining: Implementation of Data Mining Techniques using RapidMiner software
Data Mining: Implementation of Data Mining Techniques using RapidMiner softwareData Mining: Implementation of Data Mining Techniques using RapidMiner software
Data Mining: Implementation of Data Mining Techniques using RapidMiner softwareMohammed Kharma
 
Post_Number Systems_8.1.2
Post_Number Systems_8.1.2Post_Number Systems_8.1.2
Post_Number Systems_8.1.2Marc King
 
Data Structure and Algorithms Merge Sort
Data Structure and Algorithms Merge SortData Structure and Algorithms Merge Sort
Data Structure and Algorithms Merge SortManishPrajapati78
 
N6 kph 2010_part_2b
N6 kph 2010_part_2bN6 kph 2010_part_2b
N6 kph 2010_part_2bPublicLeaker
 
Stiffness matrix method of indeterminate Beam2
Stiffness matrix method of indeterminate Beam2Stiffness matrix method of indeterminate Beam2
Stiffness matrix method of indeterminate Beam2anujajape
 
Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2
Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2
Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2Troy Schmidt
 

What's hot (20)

Quantum computing
Quantum computingQuantum computing
Quantum computing
 
6.ab initio qm
6.ab initio qm6.ab initio qm
6.ab initio qm
 
Multi-particle Entanglement in Quantum States and Evolutions
Multi-particle Entanglement in Quantum States and EvolutionsMulti-particle Entanglement in Quantum States and Evolutions
Multi-particle Entanglement in Quantum States and Evolutions
 
Quantum superposition | Overview
Quantum superposition | OverviewQuantum superposition | Overview
Quantum superposition | Overview
 
Data Structure in Quantum Computing
Data Structure in Quantum ComputingData Structure in Quantum Computing
Data Structure in Quantum Computing
 
Lecture 3 gl theory
Lecture 3 gl theoryLecture 3 gl theory
Lecture 3 gl theory
 
Chapter -3 Logarithms
Chapter -3 LogarithmsChapter -3 Logarithms
Chapter -3 Logarithms
 
Higgsbosontoelectron positron decay14042021_dsply
Higgsbosontoelectron positron decay14042021_dsplyHiggsbosontoelectron positron decay14042021_dsply
Higgsbosontoelectron positron decay14042021_dsply
 
Post_Number Systems_8.2.1
Post_Number Systems_8.2.1Post_Number Systems_8.2.1
Post_Number Systems_8.2.1
 
Fluid Simulation methods in Video Games
Fluid Simulation methods in Video GamesFluid Simulation methods in Video Games
Fluid Simulation methods in Video Games
 
Java calendar
Java calendarJava calendar
Java calendar
 
Data Mining: Implementation of Data Mining Techniques using RapidMiner software
Data Mining: Implementation of Data Mining Techniques using RapidMiner softwareData Mining: Implementation of Data Mining Techniques using RapidMiner software
Data Mining: Implementation of Data Mining Techniques using RapidMiner software
 
K nearest neighbor algorithm
  K nearest neighbor algorithm  K nearest neighbor algorithm
K nearest neighbor algorithm
 
Post_Number Systems_8.1.2
Post_Number Systems_8.1.2Post_Number Systems_8.1.2
Post_Number Systems_8.1.2
 
Data Structure and Algorithms Merge Sort
Data Structure and Algorithms Merge SortData Structure and Algorithms Merge Sort
Data Structure and Algorithms Merge Sort
 
N6 kph 2010_part_2b
N6 kph 2010_part_2bN6 kph 2010_part_2b
N6 kph 2010_part_2b
 
Stiffness matrix method of indeterminate Beam2
Stiffness matrix method of indeterminate Beam2Stiffness matrix method of indeterminate Beam2
Stiffness matrix method of indeterminate Beam2
 
maths.ppt
maths.pptmaths.ppt
maths.ppt
 
James Arnemann Presentation
James Arnemann PresentationJames Arnemann Presentation
James Arnemann Presentation
 
Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2
Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2
Earthquake Updates and Enhancements to Processing for Hazus-MH 3.2
 

Similar to Presentation1

Quantum computing in machine learning
Quantum computing in machine learningQuantum computing in machine learning
Quantum computing in machine learningkhalidhassan105
 
Introduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdfIntroduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdfsunnypatil1778
 
Markov Chain Monte Carlo explained
Markov Chain Monte Carlo explainedMarkov Chain Monte Carlo explained
Markov Chain Monte Carlo explaineddariodigiuni
 
Quantum computing
Quantum computingQuantum computing
Quantum computingGAUTHAMG5
 
Quantum talk
Quantum talkQuantum talk
Quantum talkLen Bass
 
Toward a Dependable Quantum Computing Architecture
Toward a Dependable Quantum Computing Architecture Toward a Dependable Quantum Computing Architecture
Toward a Dependable Quantum Computing Architecture Joseph Emmanuel
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum ComputingKeshav
 
Taking Quantum Computing for a Spin: What is Imaginary and What is Real?
Taking Quantum Computing for a Spin: What is Imaginary and What is Real?Taking Quantum Computing for a Spin: What is Imaginary and What is Real?
Taking Quantum Computing for a Spin: What is Imaginary and What is Real?Mike Hogarth, MD, FACMI, FACP
 
Seminar on quatum
Seminar on quatumSeminar on quatum
Seminar on quatumaprameyabr1
 
quantum computing basics roll no 15.pptx
quantum computing basics roll no 15.pptxquantum computing basics roll no 15.pptx
quantum computing basics roll no 15.pptxtoget48099
 
Technological Survey on Quantum Computing
Technological Survey on Quantum ComputingTechnological Survey on Quantum Computing
Technological Survey on Quantum ComputingIRJET Journal
 
quantum computing.pptx
quantum computing.pptxquantum computing.pptx
quantum computing.pptxanuragkr11
 

Similar to Presentation1 (20)

Quantum computing in machine learning
Quantum computing in machine learningQuantum computing in machine learning
Quantum computing in machine learning
 
Quantum computer
Quantum computerQuantum computer
Quantum computer
 
Introduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdfIntroduction_to_Quantum_Computers.pdf
Introduction_to_Quantum_Computers.pdf
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
 
OPTICALQuantum
OPTICALQuantumOPTICALQuantum
OPTICALQuantum
 
Markov Chain Monte Carlo explained
Markov Chain Monte Carlo explainedMarkov Chain Monte Carlo explained
Markov Chain Monte Carlo explained
 
Quantum computing
Quantum computingQuantum computing
Quantum computing
 
Quantum talk
Quantum talkQuantum talk
Quantum talk
 
Quantum Computation For AI
Quantum Computation For AIQuantum Computation For AI
Quantum Computation For AI
 
Reinhard (1).ppt
Reinhard (1).pptReinhard (1).ppt
Reinhard (1).ppt
 
Quantum computing meghaditya
Quantum computing meghadityaQuantum computing meghaditya
Quantum computing meghaditya
 
Toward a Dependable Quantum Computing Architecture
Toward a Dependable Quantum Computing Architecture Toward a Dependable Quantum Computing Architecture
Toward a Dependable Quantum Computing Architecture
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum Computing
 
Taking Quantum Computing for a Spin: What is Imaginary and What is Real?
Taking Quantum Computing for a Spin: What is Imaginary and What is Real?Taking Quantum Computing for a Spin: What is Imaginary and What is Real?
Taking Quantum Computing for a Spin: What is Imaginary and What is Real?
 
Seminar on quatum
Seminar on quatumSeminar on quatum
Seminar on quatum
 
quantum computing basics roll no 15.pptx
quantum computing basics roll no 15.pptxquantum computing basics roll no 15.pptx
quantum computing basics roll no 15.pptx
 
QUANTUM COMPUTING.pdf
QUANTUM COMPUTING.pdfQUANTUM COMPUTING.pdf
QUANTUM COMPUTING.pdf
 
Technological Survey on Quantum Computing
Technological Survey on Quantum ComputingTechnological Survey on Quantum Computing
Technological Survey on Quantum Computing
 
quantum computing.pptx
quantum computing.pptxquantum computing.pptx
quantum computing.pptx
 
Quantum Computing
Quantum ComputingQuantum Computing
Quantum Computing
 

Presentation1

  • 2. INTRODUCTION • Energy consumption • Speed • Qubit • 0&1 • Superposition state
  • 3. The world's first quantum computer? • Orion-2007 • based on superconducting electronics • Superconductors can be used to build large structures that behave according to the rules of quantum mechanics • Less energy consumption • High performance • E.g. search for phone number in world phonebook
  • 4.
  • 5. 2 Theory of QC • 2.1 The power of quantum computers • Clock speed • Number of steps to calculate a problem. • Comparison between QC & CC • Complexity theory • Time • Space • Energy • Factoring number in to its prime numbers • O(e^n1/3) for normal algorithms. • O(n3) for quantum algorithms. • Searching unsorted database, Communication tasks etc.
  • 6. • 2.2 Quantum parallelism • Reversibility • Heat generation • superposition states • 0 & 1 • 0+1 written as a|0〉 + b|1〉, • where a and b are complex numbers satisfying |a|^2 + |b|^2 = 1. • In some sense, this means that a qubit can be in |0〉 and |1〉 at the same time • An “equal” superposition of |0〉 and |1〉. • The output state is now a superposition of the two output values. In this sense, function f is evaluated for both possible input values in one step.
  • 7. • Two qubits with in a superposition of |0〉 and |1〉 • c0|00〉 + c1|01〉 + c2|10〉 + c3|11〉 • A 2-qubit logic gate g will transform this state to • c0|g(00)〉 + c1|g(01)〉 + c2|g(10)〉 + c3|g(11)〉 (4) • So in a sense g has been evaluated for four input values in parallel. For every extra qubit involved in the computation, the number of parallel function evaluations doubles. This exponential parallelism became known as quantum parallelism.
  • 8. 2.4 Requirements and challenges • Requirements • a system of qubits. • the qubits must be individually addressable and must interact with each other • it must be possible to initialize them to a known state because the result of a computation generally depends on its input state. • we must be able to extract a computation result from the qubits by some measurement.
  • 9. • Challenges • Decoherence: This property states that if a coherent state (state with superposition) interacts with the environment, it will fall into a classical physics state without superposition • Zeno effect: States that an unstable particle, if constantly observed, will never decay into a superpositioned state • Entanglement: two or more particles can be linked, and if linked, you can change properties of one particle changing the linked one.
  • 10. 3. FUTURE OF QUANTUM COMPUTING • Artificial Intelligence • High performance will allow us in development of complex compression algorithms • voice and image recognition • molecular simulations • true randomness • Molecular simulations are important for developing simulation applications for chemistry and biology • Cryptography • Peter Shor’s Algorithm