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Quantum computational number theory

Yan, Song Y.

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Quantum computational number theory

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quantum computational number theory/ by Song Y. Yan.
Author:	Yan, Song Y.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	ix, 252 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Quantum computing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-25823-2
ISBN:	9783319258232$q(electronic bk.)

Quantum computational number theory
Yan, Song Y.

Quantum computational number theory[electronic resource] /by Song Y. Yan. - Cham :Springer International Publishing :2015. - ix, 252 p. :ill., digital ;24 cm.

This book provides a comprehensive introduction to advanced topics in the computational and algorithmic aspects of number theory, focusing on applications in cryptography. Readers will learn to develop fast algorithms, including quantum algorithms, to solve various classic and modern number theoretic problems. Key problems include prime number generation, primality testing, integer factorization, discrete logarithms, elliptic curve arithmetic, conjecture and numerical verification. The author discusses quantum algorithms for solving the Integer Factorization Problem (IFP), the Discrete Logarithm Problem (DLP), and the Elliptic Curve Discrete Logarithm Problem (ECDLP) and for attacking IFP, DLP and ECDLP based cryptographic systems. Chapters also cover various other quantum algorithms for Pell's equation, principal ideal, unit group, class group, Gauss sums, prime counting function, Riemann's hypothesis and the BSD conjecture. Quantum Computational Number Theory is self-contained and intended to be used either as a graduate text in computing, communications and mathematics, or as a basic reference in the related fields. Number theorists, cryptographers and professionals working in quantum computing, cryptography and network security will find this book a valuable asset.

ISBN: 9783319258232$q(electronic bk.)

Standard No.: 10.1007/978-3-319-25823-2doiSubjects--Topical Terms:

2115803
Quantum computing.

LC Class. No.: QA76.889

Dewey Class. No.: 006.3843

Quantum computational number theory
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245 1 0 $a Quantum computational number theory $h [electronic resource] / $c by Song Y. Yan.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a ix, 252 p. : $b ill., digital ; $c 24 cm.
520 $a This book provides a comprehensive introduction to advanced topics in the computational and algorithmic aspects of number theory, focusing on applications in cryptography. Readers will learn to develop fast algorithms, including quantum algorithms, to solve various classic and modern number theoretic problems. Key problems include prime number generation, primality testing, integer factorization, discrete logarithms, elliptic curve arithmetic, conjecture and numerical verification. The author discusses quantum algorithms for solving the Integer Factorization Problem (IFP), the Discrete Logarithm Problem (DLP), and the Elliptic Curve Discrete Logarithm Problem (ECDLP) and for attacking IFP, DLP and ECDLP based cryptographic systems. Chapters also cover various other quantum algorithms for Pell's equation, principal ideal, unit group, class group, Gauss sums, prime counting function, Riemann's hypothesis and the BSD conjecture. Quantum Computational Number Theory is self-contained and intended to be used either as a graduate text in computing, communications and mathematics, or as a basic reference in the related fields. Number theorists, cryptographers and professionals working in quantum computing, cryptography and network security will find this book a valuable asset.
650 0 $a Quantum computing. $3 2115803
650 0 $a Number theory. $3 515832
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Theory of Computation. $3 892514
650 2 4 $a Systems and Data Security. $3 898223
650 2 4 $a Coding and Information Theory. $3 891252
650 2 4 $a Data Encryption. $3 891254
710 2 $a SpringerLink (Online service) $3 836513
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25823-2
950 $a Computer Science (Springer-11645)