Logo

From Classical to Quantum Shannon Theory

Small book cover: From Classical to Quantum Shannon Theory

From Classical to Quantum Shannon Theory
by

Publisher: arXiv
Number of pages: 663

Description:
The aim of this book is to develop 'from the ground up' many of the major developments in the general area of study known as quantum Shannon theory. As such, we spend a significant amount of time on quantum mechanics for quantum information theory, we give a careful study of the important unit protocols of teleportation, super-dense coding, and entanglement distribution, and we develop many of the tools necessary for understanding information transmission or compression.

Home page url

Download or read it online for free here:
Download link
(7.4MB, PDF)

Similar books

Book cover: A Short Course in Information TheoryA Short Course in Information Theory
by - University of Cambridge
This text discusses the theorems of Claude Shannon, starting from the source coding theorem, and culminating in the noisy channel coding theorem. Along the way we will study simple examples of codes for data compression and error correction.
(14381 views)
Book cover: Algorithmic Information TheoryAlgorithmic Information Theory
by - CWI
We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain this quantitative approach to defining information and discuss the extent to which Kolmogorov's and Shannon's theory have a common purpose.
(11270 views)
Book cover: A Mathematical Theory of CommunicationA Mathematical Theory of Communication
by
Shannon presents results previously found nowhere else, and today many professors refer to it as the best exposition on the subject of the mathematical limits on communication. It laid the modern foundations for what is now coined Information Theory.
(62899 views)
Book cover: Information Theory and CodingInformation Theory and Coding
by - University of Cambridge
The aims of this course are to introduce the principles and applications of information theory. The course will study how information is measured in terms of probability and entropy, and the relationships among conditional and joint entropies; etc.
(25144 views)