Quantum Computational Number Theory

Authors: Yan, Song Y.
Introduces the basic concepts and results in number theory and quantum computing
Discusses three major intractable number-theoretic problems related to the construction of modern public-key cryptography
Discusses known quantum algorithms for solving the intractable number-theoretic problems and for attacking the number-theoretic cryptographic schemes

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.

Number of Illustrations and Tables
40 illus.
Topics
Theory of Computation
Systems and Data Security
Coding and Information Theory
Data Encryption

More info and Hardcover at Springer

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