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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 |