Overview
- This book presents several background concepts for beginners as well as recent developments in this area
- Multidisciplinary concepts explained in a didactic and intuitive way
- First time concepts of Quantum Information Theory are presented in book form
- Applications to cryptography and coding theory
- Includes supplementary material: sn.pub/extras
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About this book
This book aims at presenting the field of Quantum Information Theory in an intuitive, didactic and self-contained way, taking into account several multidisciplinary aspects. Therefore, this books is particularly suited to students and researchers willing to grasp fundamental concepts in Quantum Computation and Quantum Information areas.
The field of Quantum Information Theory has increased significantly over the last three decades. Many results from classical information theory were translated and extended to a scenario where quantum effects become important. Most of the results in this area allows for an asymptotically small probability of error to represent and transmit information efficiently. Claude E.Shannon was the first scientist to realize that error-free classical information transmission can be accomplished under certain conditions. More recently, the concept of error-free classical communication was translated to the quantum context. The so-called Quantum Zero-Error Information Theory completes and extends the Shannon Zero-Error Information Theory.Similar content being viewed by others
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Table of contents (8 chapters)
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Authors and Affiliations
Bibliographic Information
Book Title: Quantum Zero-Error Information Theory
Authors: Elloá B. Guedes, Francisco Marcos de Assis, Rex A. C. Medeiros
DOI: https://doi.org/10.1007/978-3-319-42794-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-42793-5Published: 09 September 2016
Softcover ISBN: 978-3-319-82664-6Published: 14 June 2018
eBook ISBN: 978-3-319-42794-2Published: 02 September 2016
Edition Number: 1
Number of Pages: XIX, 189
Number of Illustrations: 50 b/w illustrations
Topics: Coding and Information Theory, Probability and Statistics in Computer Science, Quantum Computing, Quantum Physics