Quantum Annealing and Related Optimization Methods

Bikas K. Chakrabarti

ISBN 10: 3540279873 / ISBN 13: 9783540279877

Editore: Springer Berlin Heidelberg, 2005

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783540279877

Dati bibliografici

• Titolo: Quantum Annealing and Related Optimization Methods
• Editore: Springer Berlin Heidelberg
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 3540279873
• ISBN 13: 9783540279877
• Rilegatura: Buch
• Condizione: Neu

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Riassunto

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.

Dalla quarta di copertina

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.