Overview

Discover the foundations of classical and quantum information theory in the digital age with this modern introductory textbook. Familiarise yourself with core topics such as uncertainty, correlation, and entanglement before exploring modern techniques and concepts including tensor networks, quantum circuits and quantum discord. Deepen your understanding and extend your skills with over 250 thought-provoking end-of-chapter problems, with solutions for instructors, and explore curated further reading. Understand how abstract concepts connect to real-world scenarios with over 400 examples, including numerical and conceptual illustrations, and emphasising practical applications. Build confidence as chapters progressively increase in complexity, alternating between classic and quantum systems. This is the ideal textbook for senior undergraduate and graduate students in electrical engineering, computer science, and applied mathematics, looking to master the essentials of contemporary information theory.

Full Product Details

9781009579520

Table of Contents

Reviews

'Professor Simeone presents a comprehensive synthesis of classical and quantum information theory, bridging foundational principles with modern perspectives. This book provides students and researchers with the essential foundations for exploring the central role of information theory in signal processing and communications, as well as its emerging quantum dimensions. The presentation is very well organized pedagogically, with clear learning objectives and exposition of needed background materials throughout.' Vincent Poor, Princeton University 'In this most timely book, Osvaldo Simeone masterfully unifies classical and quantum perspectives on information theory, offering clarity and depth that will inspire both students and researchers. This book addressing Classical and Quantum Information Theory, provides a rigorous yet highly accessible guide to a field that underpins engineering, computer science, and the sciences at large.' Shlomo Shamai Shitz, Technion Israel Institute of Technology 'I thought there was no longer any gap left in the literature of information theory for another fundamental book, but here it is, innovatively juxtaposing classical and quantum theory…' Lajos Hanzo, University of Southampton

Author Information

Osvaldo Simeone is a Professor of Information Engineering at King's College London, where he co-directs the Centre for Intelligent Information Processing Systems. He is the author of Machine Learning for Engineers (2022) and of several monographs. He is the recipient of a number of best paper awards, and he is a Fellow of the IEEE, EPSRC, and IET.

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