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Hybryd variational classical-quantum computing, the machine learning way
Autor principal: | |
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Lenguaje: | eng |
Publicado: |
2022
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Acceso en línea: | http://cds.cern.ch/record/2839651 |
_version_ | 1780975976206827520 |
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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 |