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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Quantum annealing employs quantum fluctuations in frustrated systems or networks to anneal the system down to its ground state, or more generally to its so-called minimum cost state. Often this procedure turns out to be more effective, in multivariable optimization problems, than its classical counterpart utilizing tunable thermal fluctuations. This volume is divided into three parts. Part I is an extensive tutorial introduction familiarizing the reader with the background material necessary to follow the core of the book. Part II gives a comprehensive account of the fundamentals and applications of the quantum annealing method, and Part III compares quantum annealing with other related optimization methods. This is the first book entirely devoted to quantum annealing and will be both an invaluable primer and guidebook for all advanced students and researchers in this important field.
Bibliographic Information
Book Title: Quantum Annealing and Related Optimization Methods
Editors: Arnab Das, Bikas Chakrabarti
Series Title: Lecture Notes in Physics
DOI: https://doi.org/10.1007/11526216
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Hardcover ISBN: 978-3-540-27987-7Published: 10 November 2005
Softcover ISBN: 978-3-642-06627-6Published: 22 October 2010
eBook ISBN: 978-3-540-31515-5Published: 22 November 2005
Series ISSN: 0075-8450
Series E-ISSN: 1616-6361
Edition Number: 1
Number of Pages: XIV, 378
Topics: Theoretical, Mathematical and Computational Physics, Condensed Matter Physics, Optimization