Efficient representation of quantum many-body states with deep neural networks

Part of the challenge for quantum many-body problems comes from the difficulty of representing large-scale quantum states, which in general requires an exponentially large number of parameters. Neural networks provide a powerful tool to represent quantum many-body states. An important open question...

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Detalles Bibliográficos
Autores principales: Gao, Xun, Duan, Lu-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610197/
https://www.ncbi.nlm.nih.gov/pubmed/28939812
http://dx.doi.org/10.1038/s41467-017-00705-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5610197/
https://www.ncbi.nlm.nih.gov/pubmed/28939812
http://dx.doi.org/10.1038/s41467-017-00705-2

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