Quantum Machine Learning:
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 inf...
Gespeichert in:
| Weitere Verfasser: | , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Boston
De Gruyter
[2020]
|
| Schriftenreihe: | De Gruyter Frontiers in Computational Intelligence
6 |
| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FKE01 FLA01 UBM01 UPA01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Jun 2020) |
| Beschreibung: | 1 online resource (XIII, 118 pages) |
| ISBN: | 9783110670707 |
| DOI: | 10.1515/9783110670707 |
Internformat
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| author2 | Behrman, Elizabeth Bhattacharyya, Siddhartha Chakraborti, Susanta De, Sourav Mani, Ashish Pan, Indrajit |
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| author_facet | Behrman, Elizabeth Bhattacharyya, Siddhartha Chakraborti, Susanta De, Sourav Mani, Ashish Pan, Indrajit |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1515/9783110670707 |
| format | Electronic eBook |
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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 Quanteninformatik (DE-588)4705961-8 gnd rswk-swf Quantencomputer (DE-588)4533372-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 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 Quanteninformatik (DE-588)4705961-8 gnd Quantencomputer (DE-588)4533372-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
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| title | Quantum Machine Learning |
| title_auth | Quantum Machine Learning |
| title_exact_search | Quantum Machine Learning |
| title_exact_search_txtP | 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 Quanteninformatik (DE-588)4705961-8 gnd Quantencomputer (DE-588)4533372-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Algorithmus Künstliche Intelligenz Maschinelles Lernen Quantum Computing COMPUTERS / Intelligence (AI) & Semantics Quanteninformation Quanteninformatik Quantencomputer 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 |