From Classical to Quantum Shannon Theory
by Mark M. Wilde
Publisher: arXiv 2012
Number of pages: 663
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.
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by John Daugman - 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.
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This e-book is a brief tutorial on information theory, excess entropy and statistical complexity. From the table of contents: Background in Information Theory; Entropy Density and Excess Entropy; Computational Mechanics.
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The final version of a course on algorithmic information theory and the epistemology of mathematics. The book discusses the nature of mathematics in the light of information theory, and sustains the thesis that mathematics is quasi-empirical.
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