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Quantum information processing with ...

Tomamichel, Marco.

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Quantum information processing with finite resources = mathematical foundations /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantum information processing with finite resources/ by Marco Tomamichel.
Reminder of title:	mathematical foundations /
Author:	Tomamichel, Marco.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	ix, 138 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Quantum theory. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-21891-5
ISBN:	9783319218915$q(electronic bk.)

Quantum information processing with finite resources = mathematical foundations /
Tomamichel, Marco.

Quantum information processing with finite resourcesmathematical foundations /[electronic resource] :by Marco Tomamichel. - Cham :Springer International Publishing :2016. - ix, 138 p. :ill., digital ;24 cm. - SpringerBriefs in mathematical physics,v.52197-1757 ;. - SpringerBriefs in mathematical physics ;v.1..

This book provides the reader with the mathematical framework required to fully explore the potential of small quantum information processing devices. As decoherence will continue to limit their size, it is essential to master the conceptual tools which make such investigation possible. A strong emphasis is given to information measures that are essential for the study of devices of finite size, including Renyi entropies and smooth entropies. The presentation is self-contained and includes rigorous and concise proofs of the most important properties of these measures. The first chapters will introduce the formalism of quantum mechanics, with particular emphasis on norms and metrics for quantum states. This is necessary to explore quantum generalizations of Renyi divergence and conditional entropy, information measures that lie at the core of information theory. The smooth entropy framework is discussed next and provides a natural means to lift many arguments from information theory to the quantum setting. Finally selected applications of the theory to statistics and cryptography are discussed. The book is aimed at graduate students in Physics and Information Theory. Mathematical fluency is necessary, but no prior knowledge of quantum theory is required.

ISBN: 9783319218915$q(electronic bk.)

Standard No.: 10.1007/978-3-319-21891-5doiSubjects--Topical Terms:

516552
Quantum theory.

LC Class. No.: QC174.12

Dewey Class. No.: 530.12

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245 1 0 $a Quantum information processing with finite resources $h [electronic resource] : $b mathematical foundations / $c by Marco Tomamichel.
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300 $a ix, 138 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in mathematical physics, $x 2197-1757 ; $v v.5
520 $a This book provides the reader with the mathematical framework required to fully explore the potential of small quantum information processing devices. As decoherence will continue to limit their size, it is essential to master the conceptual tools which make such investigation possible. A strong emphasis is given to information measures that are essential for the study of devices of finite size, including Renyi entropies and smooth entropies. The presentation is self-contained and includes rigorous and concise proofs of the most important properties of these measures. The first chapters will introduce the formalism of quantum mechanics, with particular emphasis on norms and metrics for quantum states. This is necessary to explore quantum generalizations of Renyi divergence and conditional entropy, information measures that lie at the core of information theory. The smooth entropy framework is discussed next and provides a natural means to lift many arguments from information theory to the quantum setting. Finally selected applications of the theory to statistics and cryptography are discussed. The book is aimed at graduate students in Physics and Information Theory. Mathematical fluency is necessary, but no prior knowledge of quantum theory is required.
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650 2 4 $a Data Structures, Cryptology and Information Theory. $3 891008
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