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The Theory of Quantum Information
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2018-02-02
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滑铁卢大学的John Watrous教授的讲义,关于量子信息的,非常有深度,写得真好,读后受益匪浅!
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The Theory of Quantum Information
John Watrous
Institute for Quantum Computing
University of Waterloo
©2017 John Watrous
To be published by Cambridge University Press.
Please note that this is a draft, pre-publication copy only. The final, published version of this
book will be available for purchase through Cambridge University Press and other standard
distribution channels. This draft copy is made available for personal use only and must not be
sold or redistributed.
Contents
Preface page vii
1 Mathematical preliminaries 1
1.1 Linear algebra 1
1.1.1 Complex Euclidean spaces 1
1.1.2 Linear operators 7
1.1.3 Operator decompositions and norms 24
1.2 Analysis, convexity, and probability theory 34
1.2.1 Analysis and convexity 34
1.2.2 Probability theory 46
1.2.3 Semidefinite programming 53
1.3 Suggested references 57
2 Basic notions of quantum information 58
2.1 Registers and states 58
2.1.1 Registers and classical state sets 58
2.1.2 Quantum states of registers 61
2.1.3 Reductions and purifications of quantum states 67
2.2 Quantum channels 72
2.2.1 Definitions and basic notions concerning channels 72
2.2.2 Representations and characterizations of channels 77
2.2.3 Examples of channels and other mappings 91
2.2.4 Extremal channels 96
2.3 Measurements 100
2.3.1 Two equivalent definitions of measurements 100
2.3.2 Basic notions concerning measurements 105
2.3.3 Extremal measurements and ensembles 113
2.4 Exercises 120
2.5 Bibliographic remarks 122
iv Contents
3 Similarity and distance among states and channels 124
3.1 Quantum state discrimination 124
3.1.1 Discriminating between pairs of quantum states 125
3.1.2 Discriminating quantum states of an ensemble 132
3.2 The fidelity function 139
3.2.1 Elementary properties of the fidelity function 140
3.2.2 Characterizations of the fidelity function 144
3.2.3 Further properties of the fidelity function 155
3.3 Channel distances and discrimination 164
3.3.1 Channel discrimination 164
3.3.2 The completely bounded trace norm 166
3.3.3 Distances between channels 175
3.3.4 Characterizations of the completely bounded
trace norm 185
3.4 Exercises 197
3.5 Bibliographic remarks 198
4 Unital channels and majorization 201
4.1 Subclasses of unital channels 201
4.1.1 Mixed-unitary channels 202
4.1.2 Weyl-covariant channels 212
4.1.3 Schur channels 219
4.2 General properties of unital channels 222
4.2.1 Extreme points of the set of unital channels 222
4.2.2 Fixed-points, spectra, and norms of unital channels 228
4.3 Majorization 233
4.3.1 Majorization for real vectors 233
4.3.2 Majorization for Hermitian operators 241
4.4 Exercises 246
4.5 Bibliographic remarks 247
5 Quantum entropy and source coding 250
5.1 Classical entropy 250
5.1.1 Definitions of classical entropic functions 250
5.1.2 Properties of classical entropic functions 253
5.2 Quantum entropy 265
5.2.1 Definitions of quantum entropic functions 265
5.2.2 Elementary properties of quantum entropic
functions 267
5.2.3 Joint convexity of quantum relative entropy 276
5.3 Source coding 283
Contents v
5.3.1 Classical source coding 284
5.3.2 Quantum source coding 289
5.3.3 Encoding classical information into quantum
states 294
5.4 Exercises 306
5.5 Bibliographic remarks 308
6 Bipartite entanglement 310
6.1 Separability 310
6.1.1 Separable operators and states 310
6.1.2 Separable maps and the LOCC paradigm 324
6.1.3 Separable and LOCC measurements 332
6.2 Manipulation of entanglement 339
6.2.1 Entanglement transformation 339
6.2.2 Distillable entanglement and entanglement cost 345
6.2.3 Bound entanglement and partial transposition 352
6.3 Phenomena associated with entanglement 358
6.3.1 Teleportation and dense coding 359
6.3.2 Non-classical correlations 371
6.4 Exercises 384
6.5 Bibliographic remarks 386
7 Permutation invariance and unitarily invariant measures 390
7.1 Permutation-invariant vectors and operators 390
7.1.1 The subspace of permutation-invariant vectors 391
7.1.2 The algebra of permutation-invariant operators 400
7.2 Unitarily invariant probability measures 408
7.2.1 Uniform spherical measure and Haar measure 408
7.2.2 Applications of unitarily invariant measures 420
7.3 Measure concentration and it applications 429
7.3.1 L´evy’s lemma and Dvoretzky’s theorem 430
7.3.2 Applications of measure concentration 447
7.4 Exercises 460
7.5 Bibliographic remarks 462
8 Quantum channel capacities 464
8.1 Classical information over quantum channels 464
8.1.1 Classical capacities of quantum channels 465
8.1.2 The Holevo–Schumacher–Westmoreland theorem 476
8.1.3 The entanglement-assisted classical capacity
theorem 493
8.2 Quantum information over quantum channels 512
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