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Classical and Quantum Information Theory
An Introduction for the Telecom Scientist

  • Date Published: February 2009
  • availability: In stock
  • format: Hardback
  • isbn: 9780521881715

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  • Information theory lies at the heart of modern technology, underpinning all communications, networking, and data storage systems. This book sets out, for the first time, a complete overview of both classical and quantum information theory. Throughout, the reader is introduced to key results without becoming lost in mathematical details. Opening chapters present the basic concepts and various applications of Shannon's entropy, moving on to the core features of quantum information and quantum computing. Topics such as coding, compression, error-correction, cryptography and channel capacity are covered from classical and quantum viewpoints. Employing an informal yet scientifically accurate approach, Desurvire provides the reader with the knowledge to understand quantum gates and circuits. Highly illustrated, with numerous practical examples and end-of-chapter exercises, this text is ideal for graduate students and researchers in electrical engineering and computer science, and practitioners in the telecommunications industry. Further resources and instructor-only solutions are available at www.cambridge.org/9780521881715.

    • A first-time complete overview of both classical and quantum information theory
    • Employs an informal yet scientifically accurate approach
    • Highly illustrated with numerous practical examples and end-of-chapter exercises
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    Reviews & endorsements

    'The book would make an excellent text for an upper division graduate course in Electrical Engineering that might run one or two semesters. Meaningful problems, with a range of difficulty, are provided (answers are available from the publisher). The format and style of the book also make it a great choice for self-study. I recommend it highly.' Ivan P. Kaminow, University of California, Berkeley

    'The most interesting presentation on quantum cryptography I have read. I really enjoyed reading the book and learned a lot. I am confident that readers will discover an original and interesting viewpoint on information theory.' Ivan Favero, Université Paris Diderot - CNRS

    'The entire work is well and clearly presented with a mathematical background, and can be a good handbook for those which study the quantum information theory domain.' Zentralblatt MATH

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    Product details

    • Date Published: February 2009
    • format: Hardback
    • isbn: 9780521881715
    • length: 714 pages
    • dimensions: 253 x 179 x 37 mm
    • weight: 1.55kg
    • contains: 1 b/w illus. 59 tables 139 exercises
    • availability: In stock
  • Table of Contents

    1. Probabilities basics
    2. Probability distributions
    3. Measuring information
    4. Entropy
    5. Mutual information and more entropies
    6. Differential entropy
    7. Algorithmic entropy and Kolmogorov complexity
    8. Information coding
    9. Optimal coding and compression
    10. Integer, arithmetic and adaptive coding
    11. Error correction
    12. Channel entropy
    13. Channel capacity and coding theorem
    14. Gaussian channel and Shannon-Hartley theorem
    15. Reversible computation
    16. Quantum bits and quantum gates
    17. Quantum measurments
    18. Qubit measurements, superdense coding and quantum teleportation
    19. Deutsch/Jozsa alorithms and quantum fourier transform
    20. Shor's factorization algorithm
    21. Quantum information theory
    22. Quantum compression
    23. Quantum channel noise and channel capacity
    24. Quantum error correction
    25. Classical and quantum cryptography
    Appendix A. Boltzmann's entropy
    Appendix B. Shannon's entropy
    Appendix C. Maximum entropy of discrete sources
    Appendix D. Markov chains and the second law of thermodynamics
    Appendix E. From discrete to continuous entropy
    Appendix F. Kraft-McMillan inequality
    Appendix G. Overview of data compression standards
    Appendix H. Arithmetic coding algorithm
    Appendix I. Lempel-Ziv distinct parsing
    Appendix J. Error-correction capability of linear block codes
    Appendix K. Capacity of binary communication channels
    Appendix L. Converse proof of the Channel Coding Theorem
    Appendix M. Block sphere representation of the qubit
    Appendix N. Pauli matrices, rotations and unitary operators
    Appendix O. Heisenberg Uncertainty Principle
    Appendix P. Two qubit teleportation
    Appendix Q. Quantum Fourier transform circuit
    Appendix R. Properties of continued fraction expansion
    Appendix S. Computation of inverse Fourier transform in the factoring of N=21 through Shor's algorithm
    Appendix T. Modular arithmetic and Euler's Theorem
    Appendix U. Klein's inequality
    Appendix V. Schmidt decomposition of joint pure states
    Appendix W. State purification
    Appendix X. Holevo bound
    Appendix Y. Polynomial byte representation and modular multiplication.

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    Classical and Quantum Information Theory

    Emmanuel Desurvire

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  • Instructors have used or reviewed this title for the following courses

    • Computer System Security
    • Software Project
    • information theory
  • Author

    Emmanuel Desurvire, Thales, France
    Emmanuel Desurvire is Director of the Physics Research Group at Thales Research and Technology, and has held previous positions at Stanford University, AT&T Bell Laboratories, Columbia University and Alcatel. With over 25 years' experience in the field of optical communications, he has received numerous recognitions for his scientific contributions, including the 1998 Benjamin Franklin Medal in Engineering, the 2005 William Streifer Scientific Achievement Award, and, in 2007, the IEEE/LEOS John Tyndall Award, Engineer of the Year Award and the France-Telecom Prize of the Académie des Sciences.

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