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Quantum machine learning for chemistry and physics.
Sajjan, Manas; Li, Junxu; Selvarajan, Raja; Sureshbabu, Shree Hari; Kale, Sumit Suresh; Gupta, Rishabh; Singh, Vinit; Kais, Sabre.
Afiliação
  • Sajjan M; Department of Chemistry, Purdue University, West Lafayette, IN-47907, USA. kais@purdue.edu.
  • Li J; Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, Indiana 47907, USA.
  • Selvarajan R; Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, Indiana 47907, USA.
  • Sureshbabu SH; Department of Physics and Astronomy, Purdue University, West Lafayette, IN-47907, USA.
  • Kale SS; Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, Indiana 47907, USA.
  • Gupta R; Department of Physics and Astronomy, Purdue University, West Lafayette, IN-47907, USA.
  • Singh V; Purdue Quantum Science and Engineering Institute, Purdue University, West Lafayette, Indiana 47907, USA.
  • Kais S; Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN-47907, USA.
Chem Soc Rev ; 51(15): 6475-6573, 2022 Aug 01.
Article em En | MEDLINE | ID: mdl-35849066
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Teoria Quântica / Metodologias Computacionais Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Teoria Quântica / Metodologias Computacionais Idioma: En Ano de publicação: 2022 Tipo de documento: Article