Availability: Quantum Machine Learning | Technische Universität München

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Bibliographic Details
Other Authors:	Behrman, Elizabeth (Editor), Bhattacharyya, Siddhartha (Editor), Chakraborti, Susanta (Editor), De, Sourav (Editor), Mani, Ashish (Editor), Pan, Indrajit (Editor)
Format:	Electronic eBook
Language:	English
Published:	Berlin ; Boston De Gruyter [2020]
Series:	De Gruyter Frontiers in Computational Intelligence 6
Subjects:	Algorithmus Künstliche Intelligenz Maschinelles Lernen Quantum Computing COMPUTERS / Intelligence (AI) & Semantics Quanteninformation Quantencomputer Quanteninformatik Aufsatzsammlung
Links:	https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707 https://doi.org/10.1515/9783110670707
Summary:	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
Item Description:	Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jun 2020)
Physical Description:	1 online resource (XIII, 118 pages)
ISBN:	9783110670707
DOI:	10.1515/9783110670707

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spelling	Quantum Machine Learning Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Elizabeth Behrman, Susanta Chakraborti, Sourav De Berlin ; Boston De Gruyter [2020] © 2020 1 online resource (XIII, 118 pages) txt rdacontent c rdamedia cr rdacarrier De Gruyter Frontiers in Computational Intelligence 6 Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jun 2020) 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 In English Algorithmus Künstliche Intelligenz Maschinelles Lernen Quantum Computing COMPUTERS / Intelligence (AI) & Semantics bisacsh Quanteninformation (DE-588)1211521885 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Quantencomputer (DE-588)4533372-5 gnd rswk-swf Quanteninformatik (DE-588)4705961-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Maschinelles Lernen (DE-588)4193754-5 s Künstliche Intelligenz (DE-588)4033447-8 s Quanteninformation (DE-588)1211521885 s Quantencomputer (DE-588)4533372-5 s Quanteninformatik (DE-588)4705961-8 s 1\p DE-604 Behrman, Elizabeth edt Bhattacharyya, Siddhartha edt Chakraborti, Susanta edt De, Sourav edt Mani, Ashish edt Pan, Indrajit edt Erscheint auch als Druck-Ausgabe 9783110670646 https://doi.org/10.1515/9783110670707 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk
spellingShingle	Quantum Machine Learning Algorithmus Künstliche Intelligenz Maschinelles Lernen Quantum Computing COMPUTERS / Intelligence (AI) & Semantics bisacsh Quanteninformation (DE-588)1211521885 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Quantencomputer (DE-588)4533372-5 gnd Quanteninformatik (DE-588)4705961-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)1211521885 (DE-588)4033447-8 (DE-588)4533372-5 (DE-588)4705961-8 (DE-588)4193754-5 (DE-588)4143413-4
title	Quantum Machine Learning
title_auth	Quantum Machine Learning
title_exact_search	Quantum Machine Learning
title_full	Quantum Machine Learning Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Elizabeth Behrman, Susanta Chakraborti, Sourav De
title_fullStr	Quantum Machine Learning Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Elizabeth Behrman, Susanta Chakraborti, Sourav De
title_full_unstemmed	Quantum Machine Learning Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Elizabeth Behrman, Susanta Chakraborti, Sourav De
title_short	Quantum Machine Learning
title_sort	quantum machine learning
topic	Algorithmus Künstliche Intelligenz Maschinelles Lernen Quantum Computing COMPUTERS / Intelligence (AI) & Semantics bisacsh Quanteninformation (DE-588)1211521885 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Quantencomputer (DE-588)4533372-5 gnd Quanteninformatik (DE-588)4705961-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Algorithmus Künstliche Intelligenz Maschinelles Lernen Quantum Computing COMPUTERS / Intelligence (AI) & Semantics Quanteninformation Quantencomputer Quanteninformatik Aufsatzsammlung
url	https://doi.org/10.1515/9783110670707
work_keys_str_mv	AT behrmanelizabeth quantummachinelearning AT bhattacharyyasiddhartha quantummachinelearning AT chakrabortisusanta quantummachinelearning AT desourav quantummachinelearning AT maniashish quantummachinelearning AT panindrajit quantummachinelearning

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