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Hybryd variational classical-quantum computing, the machine learning way

Detalles Bibliográficos
Autor principal: Carleo, Giuseppe
Lenguaje:eng
Publicado: 2022
Materias:
Acceso en línea:http://cds.cern.ch/record/2839651
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author Carleo, Giuseppe
author_facet Carleo, Giuseppe
author_sort Carleo, Giuseppe
collection CERN
id cern-2839651
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2022
record_format invenio
spelling cern-28396512022-11-07T21:59:38Zhttp://cds.cern.ch/record/2839651engCarleo, GiuseppeHybryd variational classical-quantum computing, the machine learning wayInternational Conference on Quantum Technologies for High-Energy Physics (QT4HEP22)QTI other events or meetingsoai:cds.cern.ch:28396512022
spellingShingle QTI other events or meetings
Carleo, Giuseppe
Hybryd variational classical-quantum computing, the machine learning way
title Hybryd variational classical-quantum computing, the machine learning way
title_full Hybryd variational classical-quantum computing, the machine learning way
title_fullStr Hybryd variational classical-quantum computing, the machine learning way
title_full_unstemmed Hybryd variational classical-quantum computing, the machine learning way
title_short Hybryd variational classical-quantum computing, the machine learning way
title_sort hybryd variational classical-quantum computing, the machine learning way
topic QTI other events or meetings
url http://cds.cern.ch/record/2839651
work_keys_str_mv AT carleogiuseppe hybrydvariationalclassicalquantumcomputingthemachinelearningway
AT carleogiuseppe internationalconferenceonquantumtechnologiesforhighenergyphysicsqt4hep22