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＜電子ブック＞
Classical and Quantum Computing : with C++ and Java Simulations / by Yorick Hardy, Willi H. Steeb

版	1st ed. 2001.
出版者	(Basel : Birkhäuser Basel : Imprint: Birkhäuser)
出版年	2001
本文言語	英語
大きさ	XXIII, 589 p : online resource
著者標目	*Hardy, Yorick author Steeb, Willi H author SpringerLink (Online service)
件　名	LCSH:Quantum computers LCSH:Computer programming LCSH:Computer science LCSH:Mathematics FREE:Quantum Computing FREE:Programming Techniques FREE:Computer Science FREE:Mathematics
一般注記	1 Algorithms -- 2 Boolean Algebra -- 3 Number Representation -- 4 Logic Gates -- 5 Combinational Circuits -- 6 Latches and Registers -- 7 Synchronous Circuits -- 8 Recursion -- 9 Abstract Data Types -- 10 Error Detection and Correction -- 11 Cryptography -- 12 Finite State Machines -- 13 Computability and Complexity -- 14 Neural Networks -- 15 Genetic Algorithms -- 16 Quantum Mechanics -- 17 Quantum Bits and Quantum Computation -- 18 Measurement and Quantum States -- 19 Quantum State Machines -- 20 Teleportation -- 21 Quantum Algorithms -- 22 Quantum Information Theory -- 23 Quantum Error Detection and Correction -- 24 Quantum Hardware -- 25 Internet Resources Classical and Quantum computing provides a self-contained, systematic and comprehensive introduction to all the subjects and techniques important in scientific computing. The style and presentation are readily accessible to undergraduates and graduates. A large number of examples, accompanied by complete C++ and Java code wherever possible, cover every topic. Features and benefits: - Comprehensive coverage of the theory with many examples - Topics in classical computing include boolean algebra, gates, circuits, latches, error detection and correction, neural networks, Turing machines, cryptography, genetic algorithms - For the first time, genetic expression programming is presented in a textbook - Topics in quantum computing include mathematical foundations, quantum algorithms, quantum information theory, hardware used in quantum computing This book serves as a textbook for courses in scientific computing and is also very suitable for self-study. Students, professionals and practitioners in computer science, applied mathematics and physics will benefit from using the book and the included software simulations HTTP:URL=https://doi.org/10.1007/978-3-0348-8366-5

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