Quantum Annealing and Related Optimization Methods

Quantum Annealing and Related Optimization Methods
Author :
Publisher : Springer
Total Pages : 378
Release :
ISBN-10 : 3540813497
ISBN-13 : 9783540813491
Rating : 4/5 (491 Downloads)

Book Synopsis Quantum Annealing and Related Optimization Methods by : Arnab Das

Download or read book Quantum Annealing and Related Optimization Methods written by Arnab Das and published by Springer. This book was released on 2009-09-02 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: physics


Quantum Annealing and Related Optimization Methods Related Books

Quantum Annealing and Related Optimization Methods
Language: en
Pages: 396
Authors: Arnab Das
Categories: Science
Type: BOOK - Published: 2005-11-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

physics
Quantum Annealing and Related Optimization Methods
Language: en
Pages: 378
Authors: Arnab Das
Categories: Science
Type: BOOK - Published: 2009-09-02 - Publisher: Springer

DOWNLOAD EBOOK

physics
Quantum Spin Glasses, Annealing and Computation
Language: en
Pages: 424
Authors: Shu Tanaka
Categories: Science
Type: BOOK - Published: 2017-05-04 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Quantum annealing is a new-generation tool of information technology, which helps in solving combinatorial optimization problems with high precision, based on t
Quantum Technology and Optimization Problems
Language: en
Pages: 231
Authors: Sebastian Feld
Categories: Computers
Type: BOOK - Published: 2019-03-13 - Publisher: Springer

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the First International Workshop on Quantum Technology and Optimization Problems, QTOP 2019, held in Munich, G
Adiabatic Quantum Computation and Quantum Annealing
Language: en
Pages: 83
Authors: Catherine C. McGeoch
Categories: Mathematics
Type: BOOK - Published: 2022-06-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

Adiabatic quantum computation (AQC) is an alternative to the better-known gate model of quantum computation. The two models are polynomially equivalent, but oth