Quantum Machine Learning / ed. by Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Elizabeth Behrman, Susanta Chakraborti, Sourav De.
Contributor(s): Behrman, Elizabeth [editor.]
| Bhattacharyya, Siddhartha [contributor.] | Bhattacharyya, Siddhartha [editor.] | Bishwas, Arit Kumar [contributor.] | Chakraborti, Susanta [editor.] | Chatterjee, Amlan [contributor.] | De, Sourav [contributor.] | De, Sourav [editor.] | Dey, Alokananda [contributor.] | Dey, Sandip [contributor.] | MacLennan, Bruce J [contributor.] | Mani, Ashish [contributor.] | Mani, Ashish [editor.] | Palade, Vasile [contributor.] | Pan, Indrajit [editor.] | Platos, Jan [contributor.].
Material type: 
BookSeries: De Gruyter Frontiers in Computational Intelligence , 6.Publisher: Berlin ; Boston : De Gruyter, [2020]Copyright date: ©2020Description: 1 online resource (XIII, 118 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110670707.Subject(s): Algorithmus | Künstliche Intelligenz | Maschinelles Lernen | Quantum Computing | COMPUTERS / Intelligence (AI) & SemanticsAdditional physical formats: No title; No titleOnline resources: Click here to access online | Click here to access online | Cover Issued also in print.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
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http://purl.org/coar/access_right/c_16ec
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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
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