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020 _a9783110670707
024 7 _a10.1515/9783110670707
_2doi
035 _a(DE-B1597)533759
035 _a(OCoLC)1158179576
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
072 7 _aCOM004000
_2bisacsh
245 0 0 _aQuantum Machine Learning /
_ced. by Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Elizabeth Behrman, Susanta Chakraborti, Sourav De.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2020]
264 4 _c©2020
300 _a1 online resource (XIII, 118 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aDe Gruyter Frontiers in Computational Intelligence ,
_x2512-8868 ;
_v6
505 0 0 _tFrontmatter --
_tContents --
_tList of Contributors --
_tPreface --
_t1. Introduction to quantum machine learning --
_t2. Topographic representation for quantum machine learning --
_t3. Quantum optimization for machine learning --
_t4. From classical to quantum machine learning --
_t5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm --
_t6. Conclusion --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aQuantum-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.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
650 4 _aAlgorithmus.
_963838
650 4 _aKünstliche Intelligenz.
_975263
650 4 _aMaschinelles Lernen.
_975264
650 4 _aQuantum Computing.
_910080
650 7 _aCOMPUTERS / Intelligence (AI) & Semantics.
_2bisacsh
_977648
700 1 _aBehrman, Elizabeth,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977649
700 1 _aBhattacharyya, Siddhartha,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977650
700 1 _aBhattacharyya, Siddhartha,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977650
700 1 _aBishwas, Arit Kumar,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977651
700 1 _aChakraborti, Susanta,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977652
700 1 _aChatterjee, Amlan,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977653
700 1 _aDe, Sourav,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977654
700 1 _aDe, Sourav,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977654
700 1 _aDey, Alokananda,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977655
700 1 _aDey, Sandip,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977656
700 1 _aMacLennan, Bruce J.,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977657
700 1 _aMani, Ashish,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977658
700 1 _aMani, Ashish,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977658
700 1 _aPalade, Vasile,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977659
700 1 _aPan, Indrajit,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977660
700 1 _aPlatos, Jan,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_977661
773 0 8 _iTitle is part of eBook package:
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