Introduction to Quantum Information Processing

Size: px
Start display at page:

Download "Introduction to Quantum Information Processing"

Transcription

1 Introdction to Qantm Information Processing Lectre 5 Richard Cleve

2 Overview of Lectre 5 Review of some introdctory material: qantm states, operations, and simple qantm circits Commnication tasks: one qbit conveys at most one bit sperdense coding teleportation 2

3 review of introdctory material 3

4 Classical & qantm states Probabilistic states: x, p x p x x = p p p p p p p p Qantm states: x x, x x 2 = C Dirac notation: ψ = x {, } n x x 4

5 Dirac bra-c-ket notation Ket: ψ always denotes a colmn vector, e.g. M Bra: ψ always denotes a row vector that is the conjgate transpose of ψ, e.g. [ * * * ] Bracket: φ ψ denotes φ ψ, the inner prodct of φ and ψ 5

6 Some basic qantm operations Initialize: set a qbit to state or Unitary operations: x x a U x x x x (U U = I ) Measrements: x x x a M with prob with prob M with prob M and the qantm state collapses 6

7 Examples: one-qbit operations Rotation: cos sin θ θ sin cos θ θ NOT (bit flip): σ x = X = Phase flip: σ z = Z = Hadamard: H = 2 7

8 Example: measring a qbit ψ β 2 ψ With respect to the comptational basis {, } 2 There exist other qantm operations, bt they can all be simlated by the aforementioned types Example: measrement with respect to a different orthonormal basis { ψ, ψ } 8

9 Distingishing between two states + ( ) = ( ) Let be in state = + or 2 2 Qestion : can we distingish between the two cases? Distingishing procedre:. apply H 2. measre This works becase H + = and H = Qestion 2: can we distingish between and +? It trns ot that, since they re not orthogonal, they cannot be perfectly distingished 9

10 Strctre among sbsystems qbits: time # U W #2 V #3 #4 nitary operations measrements

11 Qantm comptations Qantm circits:

12 Examples of two-qbit systems (do nothing) U U = Maps basis states as: U U U U The reslting 4x4 matrix is I U = 2

13 Two-qbit gates U Maps basis states as: U U U = Reslting 4x4 matrix is controlled-u = C-U = 3

14 Controlled-NOT (CNOT ( CNOT) X a a b a b Note: control qbit may change on some inpt states + 4

15 Universal sets of gates Theorem: any nitary operation U acting on k qbits can be decomposed into O(4 k ) CNOT and one-qbit gates Therefore, CNOT and all one-qbit gates are niversal (classical analoge: AND and NOT gates) Example: Toffoli gate controlled-controlled-not a b a b c c (a b) Can be simlated by CNOT, H, and = W e i π / 4 5

16 commnication tasks 6

17 How mch classical information in n qbits? 2 n complex nmbers are needed to describe an arbitrary n-qbit pre qantm state: Does this mean that an exponential amont of classical information is stored in n qbits? No! Holevo s Theorem [973] implies: cannot convey more than n bits of information in n qbits How mch information does Natre have to store to maintain an n-qbit qantm state? 7

18 Holevo s Theorem Easy case: Hard case (the general case): ψ n qbits U b b 2... b n cannot convey more than n bits! b b 2 b 3 b n ψ n qbits m qbits U b b 2 b 3 b n b n+ b n+2 b n+3 b n+4 b n+m (proof is omitted here) 8

19 Sperdense coding (prelde) Sppose that Alice wants to convey two classical bits to Bob sending jst one qbit ab Alice Bob ab By Holevo s Theorem, this is impossible 9

20 Sperdense coding In sperdense coding, Bob can send a qbit to Alice first ab Alice Bob ab How can this help? 2

21 How sperdense coding works. Bob creates the state + and sends the first qbit to Alice 2. Alice: if a =then apply X to qbit if b =then apply Z to qbit send the qbit back to Bob X = Z = ab state + + Bell basis 3. Bob measres the two qbits in the Bell basis 2

22 Measrement in the Bell basis Specifically, Bob applies H to his two qbits... and then measres them, yielding ab inpt otpt + + This concldes sperdense coding 22

23 Review of partial measrements Sppose one measres jst the first qbit of the state 2 + i 3 + What is the reslt? = + i , 3 7 +i 4 7 with prob. 7/2, with prob. 5/2 23

24 Teleportation (prelde) Sppose Alice wishes to convey a qbit to Bob by sending jst classical bits + β + β If Alice knows and β, she can send approximations of them bt this reqires infinitely many bits for perfect precision Moreover, if Alice does not know or β, she can at best acqire one bit abot them by a measrement 24

25 Teleportation scenario In teleportation, Alice and Bob also start with a Bell state + β (/ 2)( + ) and Alice can send two classical bits to Bob Note that the initial state of the three qbit system is: (/ 2)( + β )( + ) = (/ 2)( + + β + β ) 25

26 To be contined 26

27 Corse annoncements Send an to to be pt on the corse mailing list. We will normally only send information relevant to the corse here (e.g. comments abot the assignments). Office hors: Carlos Perez (CS): Wednesdays 2:3-4:3pm Donny Cheng (C&O): Thrsdays 2:3-4:3pm Marcs Silva (Physics): Fridays :am-noon or :-3:pm is there a preference? 27

Hilbert Space, Entanglement, Quantum Gates, Bell States, Superdense Coding.

Hilbert Space, Entanglement, Quantum Gates, Bell States, Superdense Coding. CS 94- Bell States Bell Inequalities 9//04 Fall 004 Lecture Hilbert Space Entanglement Quantum Gates Bell States Superdense Coding 1 One qubit: Recall that the state of a single qubit can be written as

More information

Richard Cleve David R. Cheriton School of Computer Science Institute for Quantum Computing University of Waterloo

Richard Cleve David R. Cheriton School of Computer Science Institute for Quantum Computing University of Waterloo CS 497 Frontiers of Computer Science Introduction to Quantum Computing Lecture of http://www.cs.uwaterloo.ca/~cleve/cs497-f7 Richard Cleve David R. Cheriton School of Computer Science Institute for Quantum

More information

. Here we are using the standard inner-product over C k to define orthogonality. Recall that the inner-product of two vectors φ = i α i.

. Here we are using the standard inner-product over C k to define orthogonality. Recall that the inner-product of two vectors φ = i α i. CS 94- Hilbert Spaces, Tensor Products, Quantum Gates, Bell States 1//07 Spring 007 Lecture 01 Hilbert Spaces Consider a discrete quantum system that has k distinguishable states (eg k distinct energy

More information

Introduction to Quantum Information Processing QIC 710 / CS 768 / PH 767 / CO 681 / AM 871

Introduction to Quantum Information Processing QIC 710 / CS 768 / PH 767 / CO 681 / AM 871 Introduction to Quantum Information Processing QIC 710 / CS 768 / PH 767 / CO 681 / AM 871 Lecture 1 (2017) Jon Yard QNC 3126 jyard@uwaterloo.ca TAs Nitica Sakharwade nsakharwade@perimeterinstitute.ca

More information

Linear Algebra and Dirac Notation, Pt. 1

Linear Algebra and Dirac Notation, Pt. 1 Linear Algebra and Dirac Notation, Pt. 1 PHYS 500 - Southern Illinois University February 1, 2017 PHYS 500 - Southern Illinois University Linear Algebra and Dirac Notation, Pt. 1 February 1, 2017 1 / 13

More information

Quantum information and quantum computing

Quantum information and quantum computing Middle East Technical University, Department of Physics January 7, 009 Outline Measurement 1 Measurement 3 Single qubit gates Multiple qubit gates 4 Distinguishability 5 What s measurement? Quantum measurement

More information

Lecture 3: Hilbert spaces, tensor products

Lecture 3: Hilbert spaces, tensor products CS903: Quantum computation and Information theory (Special Topics In TCS) Lecture 3: Hilbert spaces, tensor products This lecture will formalize many of the notions introduced informally in the second

More information

Seminar 1. Introduction to Quantum Computing

Seminar 1. Introduction to Quantum Computing Seminar 1 Introduction to Quantum Computing Before going in I am also a beginner in this field If you are interested, you can search more using: Quantum Computing since Democritus (Scott Aaronson) Quantum

More information

Quantum Error Correcting Codes and Quantum Cryptography. Peter Shor M.I.T. Cambridge, MA 02139

Quantum Error Correcting Codes and Quantum Cryptography. Peter Shor M.I.T. Cambridge, MA 02139 Quantum Error Correcting Codes and Quantum Cryptography Peter Shor M.I.T. Cambridge, MA 02139 1 We start out with two processes which are fundamentally quantum: superdense coding and teleportation. Superdense

More information

Quantum Gates, Circuits & Teleportation

Quantum Gates, Circuits & Teleportation Chapter 3 Quantum Gates, Circuits & Teleportation Unitary Operators The third postulate of quantum physics states that the evolution of a quantum system is necessarily unitary. Geometrically, a unitary

More information

b) (5 points) Give a simple quantum circuit that transforms the state

b) (5 points) Give a simple quantum circuit that transforms the state C/CS/Phy191 Midterm Quiz Solutions October 0, 009 1 (5 points) Short answer questions: a) (5 points) Let f be a function from n bits to 1 bit You have a quantum circuit U f for computing f If you wish

More information

Lecture 3. (2) Last time: 3D space. The dot product. Dan Nichols January 30, 2018

Lecture 3. (2) Last time: 3D space. The dot product. Dan Nichols January 30, 2018 Lectre 3 The dot prodct Dan Nichols nichols@math.mass.ed MATH 33, Spring 018 Uniersity of Massachsetts Janary 30, 018 () Last time: 3D space Right-hand rle, the three coordinate planes 3D coordinate system:

More information

Introduction to Quantum Computation

Introduction to Quantum Computation Chapter 1 Introduction to Quantum Computation 1.1 Motivations The main task in this course is to discuss application of quantum mechanics to information processing (or computation). Why? Education:Asingleq-bitisthesmallestpossiblequantummechanical

More information

SUPERDENSE CODING AND QUANTUM TELEPORTATION

SUPERDENSE CODING AND QUANTUM TELEPORTATION SUPERDENSE CODING AND QUANTUM TELEPORTATION YAQIAO LI This note tries to rephrase mathematically superdense coding and quantum teleportation explained in [] Section.3 and.3.7, respectively (as if I understood

More information

Single qubit + CNOT gates

Single qubit + CNOT gates Lecture 6 Universal quantum gates Single qubit + CNOT gates Single qubit and CNOT gates together can be used to implement an arbitrary twolevel unitary operation on the state space of n qubits. Suppose

More information

arxiv:quant-ph/ v4 14 May 2003

arxiv:quant-ph/ v4 14 May 2003 Phase-transition-like Behavior of Qantm Games arxiv:qant-ph/0111138v4 14 May 2003 Jiangfeng D Department of Modern Physics, University of Science and Technology of China, Hefei, 230027, People s Repblic

More information

Classify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.

Classify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled. Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports

More information

Introduction to Quantum Information Processing

Introduction to Quantum Information Processing Introduction to Quantum Information Processing Lecture 6 Richard Cleve Overview of Lecture 6 Continuation of teleportation Computation and some basic complexity classes Simple quantum algorithms in the

More information

Decision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process

Decision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process Decision Making in Complex Environments Lectre 2 Ratings and Introdction to Analytic Network Process Lectres Smmary Lectre 5 Lectre 1 AHP=Hierar chies Lectre 3 ANP=Networks Strctring Complex Models with

More information

CSCI 2570 Introduction to Nanocomputing. Discrete Quantum Computation

CSCI 2570 Introduction to Nanocomputing. Discrete Quantum Computation CSCI 2570 Introduction to Nanocomputing Discrete Quantum Computation John E Savage November 27, 2007 Lect 22 Quantum Computing c John E Savage What is Quantum Computation It is very different kind of computation

More information

Quantum Communication

Quantum Communication Quantum Communication Harry Buhrman CWI & University of Amsterdam Physics and Computing Computing is physical Miniaturization quantum effects Quantum Computers ) Enables continuing miniaturization ) Fundamentally

More information

Teleportation of Quantum States (1993; Bennett, Brassard, Crepeau, Jozsa, Peres, Wootters)

Teleportation of Quantum States (1993; Bennett, Brassard, Crepeau, Jozsa, Peres, Wootters) Teleportation of Quantum States (1993; Bennett, Brassard, Crepeau, Jozsa, Peres, Wootters) Rahul Jain U. Waterloo and Institute for Quantum Computing, rjain@cs.uwaterloo.ca entry editor: Andris Ambainis

More information

Quantum Key Distribution Using Decoy State Protocol

Quantum Key Distribution Using Decoy State Protocol American J. of Engineering and Applied Sciences 2 (4): 694-698, 2009 ISSN 94-7020 2009 Science Pblications Qantm Key Distribtion sing Decoy State Protocol,2 Sellami Ali, 2 Shhairi Sahardin and,2 M.R.B.

More information

An Investigation into Estimating Type B Degrees of Freedom

An Investigation into Estimating Type B Degrees of Freedom An Investigation into Estimating Type B Degrees of H. Castrp President, Integrated Sciences Grop Jne, 00 Backgrond The degrees of freedom associated with an ncertainty estimate qantifies the amont of information

More information

Unitary evolution: this axiom governs how the state of the quantum system evolves in time.

Unitary evolution: this axiom governs how the state of the quantum system evolves in time. CS 94- Introduction Axioms Bell Inequalities /7/7 Spring 7 Lecture Why Quantum Computation? Quantum computers are the only model of computation that escape the limitations on computation imposed by the

More information

Introduction to Quantum Computing for Folks

Introduction to Quantum Computing for Folks Introduction to Quantum Computing for Folks Joint Advanced Student School 2009 Ing. Javier Enciso encisomo@in.tum.de Technische Universität München April 2, 2009 Table of Contents 1 Introduction 2 Quantum

More information

Linear System Theory (Fall 2011): Homework 1. Solutions

Linear System Theory (Fall 2011): Homework 1. Solutions Linear System Theory (Fall 20): Homework Soltions De Sep. 29, 20 Exercise (C.T. Chen: Ex.3-8). Consider a linear system with inpt and otpt y. Three experiments are performed on this system sing the inpts

More information

Introduction to Quantum Computing

Introduction to Quantum Computing Introduction to Quantum Computing Part I Emma Strubell http://cs.umaine.edu/~ema/quantum_tutorial.pdf April 12, 2011 Overview Outline What is quantum computing? Background Caveats Fundamental differences

More information

Lecture Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2

Lecture Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2 BIJU PATNAIK UNIVERSITY OF TECHNOLOGY, ODISHA Lectre Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2 Prepared by, Dr. Sbhend Kmar Rath, BPUT, Odisha. Tring Machine- Miscellany UNIT 2 TURING MACHINE

More information

Tensor product Take two tensors, get together enough inputs to feed into both, and take the product of their results.

Tensor product Take two tensors, get together enough inputs to feed into both, and take the product of their results. 1 Tensors Tensors are a representation of linear operators. Much like with bra-ket notation, we want a notation which will suggest correct operations. We can represent a tensor as a point with n legs radiating

More information

Instantaneous Nonlocal Measurements

Instantaneous Nonlocal Measurements Instantaneous Nonlocal Measurements Li Yu Department of Physics, Carnegie-Mellon University, Pittsburgh, PA July 22, 2010 References Entanglement consumption of instantaneous nonlocal quantum measurements.

More information

DECAY OF SINGLET CONVERSION PROBABILITY IN ONE DIMENSIONAL QUANTUM NETWORKS

DECAY OF SINGLET CONVERSION PROBABILITY IN ONE DIMENSIONAL QUANTUM NETWORKS DECAY OF SINGLET CONVERSION PROBABILITY IN ONE DIMENSIONAL QUANTUM NETWORKS SCOTT HOTTOVY Abstract. Quantum networks are used to transmit and process information by using the phenomena of quantum mechanics.

More information

FRÉCHET KERNELS AND THE ADJOINT METHOD

FRÉCHET KERNELS AND THE ADJOINT METHOD PART II FRÉCHET KERNES AND THE ADJOINT METHOD 1. Setp of the tomographic problem: Why gradients? 2. The adjoint method 3. Practical 4. Special topics (sorce imaging and time reversal) Setp of the tomographic

More information

Quantum Computing. Quantum Computing. Sushain Cherivirala. Bits and Qubits

Quantum Computing. Quantum Computing. Sushain Cherivirala. Bits and Qubits Quantum Computing Bits and Qubits Quantum Computing Sushain Cherivirala Quantum Gates Measurement of Qubits More Quantum Gates Universal Computation Entangled States Superdense Coding Measurement Revisited

More information

CS/Ph120 Homework 1 Solutions

CS/Ph120 Homework 1 Solutions CS/Ph0 Homework Solutions October, 06 Problem : State discrimination Suppose you are given two distinct states of a single qubit, ψ and ψ. a) Argue that if there is a ϕ such that ψ = e iϕ ψ then no measurement

More information

Lecture 1: Overview of quantum information

Lecture 1: Overview of quantum information CPSC 59/69: Quantum Computation John Watrous, University of Calgary References Lecture : Overview of quantum information January 0, 006 Most of the material in these lecture notes is discussed in greater

More information

Quantum computing! quantum gates! Fisica dell Energia!

Quantum computing! quantum gates! Fisica dell Energia! Quantum computing! quantum gates! Fisica dell Energia! What is Quantum Computing?! Calculation based on the laws of Quantum Mechanics.! Uses Quantum Mechanical Phenomena to perform operations on data.!

More information

Quantum Pseudo-Telepathy

Quantum Pseudo-Telepathy Quantum Pseudo-Telepathy Michail Lampis mlambis@softlab.ntua.gr NTUA Quantum Pseudo-Telepathy p.1/24 Introduction In Multi-Party computations we are interested in measuring communication complexity. Communication

More information

Lecture 11 September 30, 2015

Lecture 11 September 30, 2015 PHYS 7895: Quantum Information Theory Fall 015 Lecture 11 September 30, 015 Prof. Mark M. Wilde Scribe: Mark M. Wilde This document is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike

More information

Quantum Teleportation Pt. 1

Quantum Teleportation Pt. 1 Quantum Teleportation Pt. 1 PHYS 500 - Southern Illinois University April 17, 2018 PHYS 500 - Southern Illinois University Quantum Teleportation Pt. 1 April 17, 2018 1 / 13 Types of Communication In the

More information

1. Tractable and Intractable Computational Problems So far in the course we have seen many problems that have polynomial-time solutions; that is, on

1. Tractable and Intractable Computational Problems So far in the course we have seen many problems that have polynomial-time solutions; that is, on . Tractable and Intractable Comptational Problems So far in the corse we have seen many problems that have polynomial-time soltions; that is, on a problem instance of size n, the rnning time T (n) = O(n

More information

Control Systems

Control Systems 6.5 Control Systems Last Time: Introdction Motivation Corse Overview Project Math. Descriptions of Systems ~ Review Classification of Systems Linear Systems LTI Systems The notion of state and state variables

More information

An Introduction to Quantum Information and Applications

An Introduction to Quantum Information and Applications An Introduction to Quantum Information and Applications Iordanis Kerenidis CNRS LIAFA-Univ Paris-Diderot Quantum information and computation Quantum information and computation How is information encoded

More information

4.2 First-Order Logic

4.2 First-Order Logic 64 First-Order Logic and Type Theory The problem can be seen in the two qestionable rles In the existential introdction, the term a has not yet been introdced into the derivation and its se can therefore

More information

Study on the Mathematic Model of Product Modular System Orienting the Modular Design

Study on the Mathematic Model of Product Modular System Orienting the Modular Design Natre and Science, 2(, 2004, Zhong, et al, Stdy on the Mathematic Model Stdy on the Mathematic Model of Prodct Modlar Orienting the Modlar Design Shisheng Zhong 1, Jiang Li 1, Jin Li 2, Lin Lin 1 (1. College

More information

Quantum Information & Quantum Computation

Quantum Information & Quantum Computation CS90A, Spring 005: Quantum Information & Quantum Computation Wim van Dam Engineering, Room 509 vandam@cs http://www.cs.ucsb.edu/~vandam/teaching/cs90/ Administrative The Final Examination will be: Monday

More information

Chapter 10. Quantum algorithms

Chapter 10. Quantum algorithms Chapter 10. Quantum algorithms Complex numbers: a quick review Definition: C = { a + b i : a, b R } where i = 1. Polar form of z = a + b i is z = re iθ, where r = z = a 2 + b 2 and θ = tan 1 y x Alternatively,

More information

EXPT. 5 DETERMINATION OF pk a OF AN INDICATOR USING SPECTROPHOTOMETRY

EXPT. 5 DETERMINATION OF pk a OF AN INDICATOR USING SPECTROPHOTOMETRY EXPT. 5 DETERMITIO OF pk a OF IDICTOR USIG SPECTROPHOTOMETRY Strctre 5.1 Introdction Objectives 5.2 Principle 5.3 Spectrophotometric Determination of pka Vale of Indicator 5.4 Reqirements 5.5 Soltions

More information

CS257 Discrete Quantum Computation

CS257 Discrete Quantum Computation CS57 Discrete Quantum Computation John E Savage April 30, 007 Lect 11 Quantum Computing c John E Savage Classical Computation State is a vector of reals; e.g. Booleans, positions, velocities, or momenta.

More information

Tutorial on Quantum Computing. Vwani P. Roychowdhury. Lecture 1: Introduction

Tutorial on Quantum Computing. Vwani P. Roychowdhury. Lecture 1: Introduction Tutorial on Quantum Computing Vwani P. Roychowdhury Lecture 1: Introduction 1 & ) &! # Fundamentals Qubits A single qubit is a two state system, such as a two level atom we denote two orthogonal states

More information

Lecture 4: Postulates of quantum mechanics

Lecture 4: Postulates of quantum mechanics Lecture 4: Postulates of quantum mechanics Rajat Mittal IIT Kanpur The postulates of quantum mechanics provide us the mathematical formalism over which the physical theory is developed. For people studying

More information

Lecture 21: Quantum Communication

Lecture 21: Quantum Communication CS 880: Quantum Information Processing 0/6/00 Lecture : Quantum Communication Instructor: Dieter van Melkebeek Scribe: Mark Wellons Last lecture, we introduced the EPR airs which we will use in this lecture

More information

Quantum Computing: Foundations to Frontier Fall Lecture 3

Quantum Computing: Foundations to Frontier Fall Lecture 3 Quantum Computing: Foundations to Frontier Fall 018 Lecturer: Henry Yuen Lecture 3 Scribes: Seyed Sajjad Nezhadi, Angad Kalra Nora Hahn, David Wandler 1 Overview In Lecture 3, we started off talking about

More information

Factoring on a Quantum Computer

Factoring on a Quantum Computer Factoring on a Quantum Computer The Essence Shor s Algorithm Wolfgang Polak wp@pocs.com Thanks to: Eleanor Rieffel Fuji Xerox Palo Alto Laboratory Wolfgang Polak San Jose State University, 4-14-010 - p.

More information

Complex numbers: a quick review. Chapter 10. Quantum algorithms. Definition: where i = 1. Polar form of z = a + b i is z = re iθ, where

Complex numbers: a quick review. Chapter 10. Quantum algorithms. Definition: where i = 1. Polar form of z = a + b i is z = re iθ, where Chapter 0 Quantum algorithms Complex numbers: a quick review / 4 / 4 Definition: C = { a + b i : a, b R } where i = Polar form of z = a + b i is z = re iθ, where r = z = a + b and θ = tan y x Alternatively,

More information

Decay of the Singlet Conversion Probability in One Dimensional Quantum Networks

Decay of the Singlet Conversion Probability in One Dimensional Quantum Networks Decay of the Singlet Conversion Probability in One Dimensional Quantum Networks Scott Hottovy shottovy@math.arizona.edu Advised by: Dr. Janek Wehr University of Arizona Applied Mathematics December 18,

More information

An Introduction to Quantum Information. By Aditya Jain. Under the Guidance of Dr. Guruprasad Kar PAMU, ISI Kolkata

An Introduction to Quantum Information. By Aditya Jain. Under the Guidance of Dr. Guruprasad Kar PAMU, ISI Kolkata An Introduction to Quantum Information By Aditya Jain Under the Guidance of Dr. Guruprasad Kar PAMU, ISI Kolkata 1. Introduction Quantum information is physical information that is held in the state of

More information

An Introduction to Geostatistics

An Introduction to Geostatistics An Introdction to Geostatistics András Bárdossy Universität Stttgart Institt für Wasser- nd Umweltsystemmodellierng Lehrsthl für Hydrologie nd Geohydrologie Prof. Dr. rer. nat. Dr.-Ing. András Bárdossy

More information

AQI: Advanced Quantum Information Lecture 6 (Module 2): Distinguishing Quantum States January 28, 2013

AQI: Advanced Quantum Information Lecture 6 (Module 2): Distinguishing Quantum States January 28, 2013 AQI: Advanced Quantum Information Lecture 6 (Module 2): Distinguishing Quantum States January 28, 2013 Lecturer: Dr. Mark Tame Introduction With the emergence of new types of information, in this case

More information

5. Communication resources

5. Communication resources 5. Communication resources Classical channel Quantum channel Entanglement How does the state evolve under LOCC? Properties of maximally entangled states Bell basis Quantum dense coding Quantum teleportation

More information

Graphs and Their. Applications (6) K.M. Koh* F.M. Dong and E.G. Tay. 17 The Number of Spanning Trees

Graphs and Their. Applications (6) K.M. Koh* F.M. Dong and E.G. Tay. 17 The Number of Spanning Trees Graphs and Their Applications (6) by K.M. Koh* Department of Mathematics National University of Singapore, Singapore 1 ~ 7543 F.M. Dong and E.G. Tay Mathematics and Mathematics EdOOation National Institte

More information

On the circuit complexity of the standard and the Karatsuba methods of multiplying integers

On the circuit complexity of the standard and the Karatsuba methods of multiplying integers On the circit complexity of the standard and the Karatsba methods of mltiplying integers arxiv:1602.02362v1 [cs.ds] 7 Feb 2016 Igor S. Sergeev The goal of the present paper is to obtain accrate estimates

More information

Hybrid modelling and model reduction for control & optimisation

Hybrid modelling and model reduction for control & optimisation Hybrid modelling and model redction for control & optimisation based on research done by RWTH-Aachen and TU Delft presented by Johan Grievink Models for control and optimiation market and environmental

More information

1. Basic rules of quantum mechanics

1. Basic rules of quantum mechanics 1. Basic rules of quantum mechanics How to describe the states of an ideally controlled system? How to describe changes in an ideally controlled system? How to describe measurements on an ideally controlled

More information

Linear Algebra using Dirac Notation: Pt. 2

Linear Algebra using Dirac Notation: Pt. 2 Linear Algebra using Dirac Notation: Pt. 2 PHYS 476Q - Southern Illinois University February 6, 2018 PHYS 476Q - Southern Illinois University Linear Algebra using Dirac Notation: Pt. 2 February 6, 2018

More information

Lecture 2: From Classical to Quantum Model of Computation

Lecture 2: From Classical to Quantum Model of Computation CS 880: Quantum Information Processing 9/7/10 Lecture : From Classical to Quantum Model of Computation Instructor: Dieter van Melkebeek Scribe: Tyson Williams Last class we introduced two models for deterministic

More information

Reversible and Quantum computing. Fisica dell Energia - a.a. 2015/2016

Reversible and Quantum computing. Fisica dell Energia - a.a. 2015/2016 Reversible and Quantum computing Fisica dell Energia - a.a. 2015/2016 Reversible computing A process is said to be logically reversible if the transition function that maps old computational states to

More information

Bayes and Naïve Bayes Classifiers CS434

Bayes and Naïve Bayes Classifiers CS434 Bayes and Naïve Bayes Classifiers CS434 In this lectre 1. Review some basic probability concepts 2. Introdce a sefl probabilistic rle - Bayes rle 3. Introdce the learning algorithm based on Bayes rle (ths

More information

Lecture: Quantum Information

Lecture: Quantum Information Lecture: Quantum Information Transcribed by: Crystal Noel and Da An (Chi Chi) November 10, 016 1 Final Proect Information Find an issue related to class you are interested in and either: read some papers

More information

Physics ; CS 4812 Problem Set 4

Physics ; CS 4812 Problem Set 4 Physics 4481-7681; CS 4812 Problem Set 4 Six problems (six pages), all short, covers lectures 11 15, due in class 25 Oct 2018 Problem 1: 1-qubit state tomography Consider a 1-qubit state ψ cos θ 2 0 +

More information

Ph 219/CS 219. Exercises Due: Friday 3 November 2006

Ph 219/CS 219. Exercises Due: Friday 3 November 2006 Ph 9/CS 9 Exercises Due: Friday 3 November 006. Fidelity We saw in Exercise. that the trace norm ρ ρ tr provides a useful measure of the distinguishability of the states ρ and ρ. Another useful measure

More information

Quantum Computing Lecture 3. Principles of Quantum Mechanics. Anuj Dawar

Quantum Computing Lecture 3. Principles of Quantum Mechanics. Anuj Dawar Quantum Computing Lecture 3 Principles of Quantum Mechanics Anuj Dawar What is Quantum Mechanics? Quantum Mechanics is a framework for the development of physical theories. It is not itself a physical

More information

VIBRATION MEASUREMENT UNCERTAINTY AND RELIABILITY DIAGNOSTICS RESULTS IN ROTATING SYSTEMS

VIBRATION MEASUREMENT UNCERTAINTY AND RELIABILITY DIAGNOSTICS RESULTS IN ROTATING SYSTEMS VIBRATIO MEASUREMET UCERTAITY AD RELIABILITY DIAGOSTICS RESULTS I ROTATIG SYSTEMS. Introdction M. Eidkevicite, V. Volkovas anas University of Technology, Lithania The rotating machinery technical state

More information

A Course in Quantum Information Theory

A Course in Quantum Information Theory A Course in Quantum Information Theory Ofer Shayevitz Spring 2007 Based on lectures given at the Tel Aviv University Edited by Anatoly Khina Version compiled January 9, 2010 Contents 1 Preliminaries 3

More information

INTRODUCTION TO QUANTUM COMPUTING

INTRODUCTION TO QUANTUM COMPUTING INTRODUCTION TO QUANTUM COMPUTING Writen by: Eleanor Rieffel and Wolfgang Polak Presented by: Anthony Luaders OUTLINE: Introduction Notation Experiment Quantum Bit Quantum Key Distribution Multiple Qubits

More information

FEA Solution Procedure

FEA Solution Procedure EA Soltion Procedre (demonstrated with a -D bar element problem) EA Procedre for Static Analysis. Prepare the E model a. discretize (mesh) the strctre b. prescribe loads c. prescribe spports. Perform calclations

More information

Describing Quantum Circuits with Systolic Arrays

Describing Quantum Circuits with Systolic Arrays escribing Quantum Circuits with Systolic Arrays Aasavari have and Eurípides Montagne School of Electrical Engineering and Computer Science University of Central Florida, Orlando, FL E-mail:{aasavari, eurip}@cs.ucf.edu

More information

Quantum Entanglement and Error Correction

Quantum Entanglement and Error Correction Quantum Entanglement and Error Correction Fall 2016 Bei Zeng University of Guelph Course Information Instructor: Bei Zeng, email: beizeng@icloud.com TA: Dr. Cheng Guo, email: cheng323232@163.com Wechat

More information

1 Measurements, Tensor Products, and Entanglement

1 Measurements, Tensor Products, and Entanglement Stanford University CS59Q: Quantum Computing Handout Luca Trevisan September 7, 0 Lecture In which we describe the quantum analogs of product distributions, independence, and conditional probability, and

More information

Model Predictive Control Lecture VIa: Impulse Response Models

Model Predictive Control Lecture VIa: Impulse Response Models Moel Preictive Control Lectre VIa: Implse Response Moels Niet S. Kaisare Department of Chemical Engineering Inian Institte of Technolog Maras Ingreients of Moel Preictive Control Dnamic Moel Ftre preictions

More information

Chapter 4 Supervised learning:

Chapter 4 Supervised learning: Chapter 4 Spervised learning: Mltilayer Networks II Madaline Other Feedforward Networks Mltiple adalines of a sort as hidden nodes Weight change follows minimm distrbance principle Adaptive mlti-layer

More information

CRITERIA FOR TOEPLITZ OPERATORS ON THE SPHERE. Jingbo Xia

CRITERIA FOR TOEPLITZ OPERATORS ON THE SPHERE. Jingbo Xia CRITERIA FOR TOEPLITZ OPERATORS ON THE SPHERE Jingbo Xia Abstract. Let H 2 (S) be the Hardy space on the nit sphere S in C n. We show that a set of inner fnctions Λ is sfficient for the prpose of determining

More information

Vector spaces and operators

Vector spaces and operators Vector spaces and operators Sourendu Gupta TIFR, Mumbai, India Quantum Mechanics 1 2013 22 August, 2013 1 Outline 2 Setting up 3 Exploring 4 Keywords and References Quantum states are vectors We saw that

More information

Effects Of Symmetry On The Structural Controllability Of Neural Networks: A Perspective

Effects Of Symmetry On The Structural Controllability Of Neural Networks: A Perspective 16 American Control Conference (ACC) Boston Marriott Copley Place Jly 6-8, 16. Boston, MA, USA Effects Of Symmetry On The Strctral Controllability Of Neral Networks: A Perspective Andrew J. Whalen 1, Sean

More information

Ph 219/CS 219. Exercises Due: Friday 20 October 2006

Ph 219/CS 219. Exercises Due: Friday 20 October 2006 1 Ph 219/CS 219 Exercises Due: Friday 20 October 2006 1.1 How far apart are two quantum states? Consider two quantum states described by density operators ρ and ρ in an N-dimensional Hilbert space, and

More information

Step-Size Bounds Analysis of the Generalized Multidelay Adaptive Filter

Step-Size Bounds Analysis of the Generalized Multidelay Adaptive Filter WCE 007 Jly - 4 007 London UK Step-Size onds Analysis of the Generalized Mltidelay Adaptive Filter Jnghsi Lee and Hs Chang Hang Abstract In this paper we analyze the bonds of the fixed common step-size

More information

The information content of a quantum

The information content of a quantum The information content of a quantum A few words about quantum computing Bell-state measurement Quantum dense coding Teleportation (polarisation states) Quantum error correction Teleportation (continuous

More information

Entanglement Manipulation

Entanglement Manipulation Entanglement Manipulation Steven T. Flammia 1 1 Perimeter Institute for Theoretical Physics, Waterloo, Ontario, N2L 2Y5 Canada (Dated: 22 March 2010) These are notes for my RIT tutorial lecture at the

More information

Advanced Cryptography Quantum Algorithms Christophe Petit

Advanced Cryptography Quantum Algorithms Christophe Petit The threat of quantum computers Advanced Cryptography Quantum Algorithms Christophe Petit University of Oxford Christophe Petit -Advanced Cryptography 1 Christophe Petit -Advanced Cryptography 2 The threat

More information

Formules relatives aux probabilités qui dépendent de très grands nombers

Formules relatives aux probabilités qui dépendent de très grands nombers Formles relatives ax probabilités qi dépendent de très grands nombers M. Poisson Comptes rends II (836) pp. 603-63 In the most important applications of the theory of probabilities, the chances of events

More information

QLang: Qubit Language

QLang: Qubit Language QLang: Qubit Language Christopher Campbell Clément Canonne Sankalpa Khadka Winnie Narang Jonathan Wong September 24, 24 Introduction In 965, Gordon Moore predicted that the number of transistors in integrated

More information

6.896 Quantum Complexity Theory September 9, Lecture 2

6.896 Quantum Complexity Theory September 9, Lecture 2 6.96 Quantum Complexity Theory September 9, 00 Lecturer: Scott Aaronson Lecture Quick Recap The central object of study in our class is BQP, which stands for Bounded error, Quantum, Polynomial time. Informally

More information

1 Algebra of State Vectors

1 Algebra of State Vectors J. Rothberg October 6, Introduction to Quantum Mechanics: Part Algebra of State Vectors What does the State Vector mean? A state vector is not a property of a physical system, but rather represents an

More information

6.080/6.089 GITCS May 6-8, Lecture 22/23. α 0 + β 1. α 2 + β 2 = 1

6.080/6.089 GITCS May 6-8, Lecture 22/23. α 0 + β 1. α 2 + β 2 = 1 6.080/6.089 GITCS May 6-8, 2008 Lecturer: Scott Aaronson Lecture 22/23 Scribe: Chris Granade 1 Quantum Mechanics 1.1 Quantum states of n qubits If you have an object that can be in two perfectly distinguishable

More information

FRTN10 Exercise 12. Synthesis by Convex Optimization

FRTN10 Exercise 12. Synthesis by Convex Optimization FRTN Exercise 2. 2. We want to design a controller C for the stable SISO process P as shown in Figre 2. sing the Yola parametrization and convex optimization. To do this, the control loop mst first be

More information

Short introduction to Quantum Computing

Short introduction to Quantum Computing November 7, 2017 Short introduction to Quantum Computing Joris Kattemölle QuSoft, CWI, Science Park 123, Amsterdam, The Netherlands Institute for Theoretical Physics, University of Amsterdam, Science Park

More information

Qubits vs. bits: a naive account A bit: admits two values 0 and 1, admits arbitrary transformations. is freely readable,

Qubits vs. bits: a naive account A bit: admits two values 0 and 1, admits arbitrary transformations. is freely readable, Qubits vs. bits: a naive account A bit: admits two values 0 and 1, admits arbitrary transformations. is freely readable, A qubit: a sphere of values, which is spanned in projective sense by two quantum

More information

A Model-Free Adaptive Control of Pulsed GTAW

A Model-Free Adaptive Control of Pulsed GTAW A Model-Free Adaptive Control of Plsed GTAW F.L. Lv 1, S.B. Chen 1, and S.W. Dai 1 Institte of Welding Technology, Shanghai Jiao Tong University, Shanghai 00030, P.R. China Department of Atomatic Control,

More information

Constructive Root Bound for k-ary Rational Input Numbers

Constructive Root Bound for k-ary Rational Input Numbers Constrctive Root Bond for k-ary Rational Inpt Nmbers Sylvain Pion, Chee Yap To cite this version: Sylvain Pion, Chee Yap. Constrctive Root Bond for k-ary Rational Inpt Nmbers. 19th Annal ACM Symposim on

More information

Image and Multidimensional Signal Processing

Image and Multidimensional Signal Processing Image and Mltidimensional Signal Processing Professor William Hoff Dept of Electrical Engineering &Compter Science http://inside.mines.ed/~whoff/ Forier Transform Part : D discrete transforms 2 Overview

More information