Quantum variational autoencoder application for data related to protein structure

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorRaasakka, Matti
dc.contributor.authorMehtola, Väinö
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorRaasakka, Matti
dc.date.accessioned2022-12-20T09:10:21Z
dc.date.available2022-12-20T09:10:21Z
dc.date.issued2022-10-14
dc.format.extent29+3
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/118419
dc.identifier.urnURN:NBN:fi:aalto-202212207160
dc.language.isoenen
dc.programmeAalto Bachelor’s Programme in Science and Technologyfi
dc.programme.majorQuantum Technologyen
dc.programme.mcodeSCI3103en
dc.subject.keywordvariational autoencoderen
dc.subject.keywordquantum machine learningen
dc.subject.keywordquantum computingen
dc.titleQuantum variational autoencoder application for data related to protein structureen
dc.typeG1 Kandidaatintyöfi
dc.type.dcmitypetexten
dc.type.ontasotBachelor's thesisen
dc.type.ontasotKandidaatintyöfi

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