COPYRIGHT YEAR

2016

AUTHORS

Maria Schuld, Francesco Petruccione

TITLE

Quantum Machine Learning

ABSTRACT

Quantum machine learning is a young research area investigating which consequences the emerging technology of quantum computing has for machine learning. This article introduces into basic concepts of quantum information and summarises some major strategies of implementing machine learning algorithms on a quantum computer.

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18 TRIPLES      17 PREDICATES      19 URIs      11 LITERALS

Subject Predicate Object
1 book-chapters:e3c77113e253008960a43ed274d14c50 sg:abstract Abstract Quantum machine learning is a young research area investigating which consequences the emerging technology of quantum computing has for machine learning. This article introduces into basic concepts of quantum information and summarises some major strategies of implementing machine learning algorithms on a quantum computer.
2 sg:copyrightHolder Springer Science+Business Media New York
3 sg:copyrightYear 2016
4 sg:ddsId b978-1-4899-7502-7_913-1
5 sg:doi 10.1007/978-1-4899-7502-7_913-1
6 sg:hasBook books:af565228e0aa191b35599189bbea1cbd
7 sg:hasContributingOrganization grid-institutes:grid.16463.36
8 sg:hasContribution contributions:3642d95ad0b722a6e63b3e53f0161592
9 contributions:8926b4e64a07c23b76b4f28a2e6c02e9
10 sg:language En
11 sg:license http://scigraph.springernature.com/explorer/license/
12 sg:pageFirst 1
13 sg:pageLast 10
14 sg:scigraphId e3c77113e253008960a43ed274d14c50
15 sg:title Quantum Machine Learning
16 sg:webpage https://link.springer.com/10.1007/978-1-4899-7502-7_913-1
17 rdf:type sg:BookChapter
18 rdfs:label BookChapter: Quantum Machine Learning
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