Classical and Quantum Information Theory: Uncertainty, Information, and Correlation

Classical and Quantum Information Theory: Uncertainty, Information, and Correlation book cover

Classical and Quantum Information Theory: Uncertainty, Information, and Correlation

Author(s): Osvaldo Simeone (Author)

  • Publisher Finelybook 出版社: Cambridge University Press
  • Publication Date 出版日期: February 19, 2026
  • Language 语言: English
  • Print length 页数: 922 pages
  • ISBN-10: 1009579525
  • ISBN-13: 9781009579520

Book Description

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.

Editorial Reviews

About the Author

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.

View on Amazon

下载地址

PDF | 9 MB | 2026-06-06
下载地址 Download请完成验证以访问链接!
打赏
未经允许不得转载:finelybook » Classical and Quantum Information Theory: Uncertainty, Information, and Correlation

评论 抢沙发

觉得文章有用就打赏一下文章作者

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫

微信扫一扫