Book: Classical and Quantum Information Theory: An Introduction for the Telecom Scientist
Publisher: Cambridge University Press
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. For the first time, this book sets out a complete overview of both classical and quantum information theory, covering key topics such as coding, compression, error-correction, cryptography, and channel capacity. Highly illustrated, with numerous practical examples and end-of-chapter exercises, this is ideal for graduate students, researchers and practitioners in industry. About the Author 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.