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    Statistical Physics of Spin Glasses and Information Processing

    An Introduction

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    Author(s)
    Nishimori, Hidetoshi
    Language
    English
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    Abstract
    Spin glasses are magnetic materials with strong disorder. Statistical mechanics has been a powerful tool to theoretically analyse various unique properties of spin glasses. A number of new analytical techniques have been developed to establish a theory of spin glasses. Surprisingly, these techniques have offered new tools and viewpoints for the understanding of information processing problems, including neural networks, error-correcting codes, image restoration, and optimization problems. A vast, interdisciplinary field has consequently been developing between physics and information, or more specifically, between the statistical physics of spin glasses and several important aspects of information processing tasks. This book provides a broad overview of this new field. It also contains detailed descriptions of the theory of spin glasses.
    URI
    https://library.oapen.org/handle/20.500.12657/76439
    Keywords
    spin glass, information theory, error-correcting codes, statistical mechanics, replica method, image restoration, neural networks
    DOI
    10.1093/acprof:oso/9780198509417.001.0001
    ISBN
    9780198509400
    Publisher
    Oxford University Press
    Publisher website
    https://global.oup.com/
    Publication date and place
    Oxford, 2001
    Series
    International Series of Monographs on Physics,
    Pages
    256
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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