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AuthorLau, Hoi-Kwandc.contributor.author
AuthorPooser, Raphaeldc.contributor.author
AuthorSiopsis, Georgedc.contributor.author
AuthorWeedbrook, Christiandc.contributor.author
Date of accession2019-02-25T05:47:31Zdc.date.accessioned
Available in OPARU since2019-02-25T05:47:31Zdc.date.available
Date of first publication2017dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordcontinuous-variablesdc.subject
Keywordinformationdc.subject
Keywordalgorithmsdc.subject
Keyworddiscretedc.subject
Keywordcomputerdc.subject
Keywordstatedc.subject
Dewey Decimal GroupDDC 530 / Physicsdc.subject.ddc
TitleQuantum Machine Learning over Infinite Dimensionsdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Naturwissenschaftenuulm.affiliationGeneral
InstitutionInstitut für Theoretische Physikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1103/PhysRevLett.118.080501dc.identifier.doiExternal
Source - Title of sourcePhysical Review Letterssource.title
Source - Place of publicationAmerican Physical Societysource.publisher
Source - Volume118source.volume
Source - Issue8source.issue
Source - Year2017source.year
Source - Article number080501source.articleNumber
Source - ISSN0031-9007source.identifier.issn
Source - eISSN1079-7114source.identifier.eissn
FundingCroucher Foundationuulm.funding
FundingU.S. Department of Energy [DE-AC05-00OR22725]uulm.funding
Open Accessgold_or_bronzeuulm.OA
Suitable communityFakultät für Naturwissenschaftenuulm.community
WoS000394667300001uulm.identifier.wos
xmlui.metadata.uulm.unibibliographiejauulm.unibibliographie


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