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Quantum machine learning De Gruyter frontiers in computational intelligence ;, v. 6./ edited by Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti

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dc.contributor.author Bhattacharyya Siddhartha
dc.contributor.author Pan Indrajit
dc.contributor.author Mani Ashish
dc.contributor.author De Sourav
dc.contributor.author Behrman Elizabeth
dc.contributor.author Chakraborti Susanta
dc.date.accessioned 2024-01-29T21:44:55Z
dc.date.available 2024-01-29T21:44:55Z
dc.date.issued 2020
dc.identifier.citation Quantum machine learning De Gruyter frontiers in computational intelligence ;, v. 6. - 1 online resource - URL: https://libweb.kpfu.ru/ebsco/pdf/2499096.pdf
dc.identifier.isbn 9783110670721
dc.identifier.isbn 3110670720
dc.identifier.isbn 3110670704
dc.identifier.isbn 9783110670707
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/179844
dc.description Includes bibliographical references and index
dc.description.abstract Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices
dc.description.tableofcontents Frontmatter -- Contents -- List of Contributors -- Preface -- 1. Introduction to quantum machine learning -- 2. Topographic representation for quantum machine learning -- 3. Quantum optimization for machine learning -- 4. From classical to quantum machine learning -- 5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm -- 6. Conclusion -- Index
dc.language English
dc.language.iso en
dc.relation.ispartofseries De Gruyter Frontiers in Computational Intelligence. volume 6
dc.relation.ispartofseries De Gruyter frontiers in computational intelligence ;. v. 6.
dc.subject.other Machine learning.
dc.subject.other Quantum theory.
dc.subject.other Algorithmus
dc.subject.other Künstliche Intelligenz
dc.subject.other Maschinelles Lernen
dc.subject.other Quantum Computing
dc.subject.other COMPUTERS / Intelligence (AI) & Semantics
dc.subject.other Electronic books
dc.title Quantum machine learning De Gruyter frontiers in computational intelligence ;, v. 6./ edited by Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti
dc.type Book
dc.description.pages 1 online resource
dc.collection Электронно-библиотечные системы
dc.source.id EN05CEBSCO05C573


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