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Generalization properties of neural network approximations to frustrated magnet ground states

Neural quantum states (NQS) attract a lot of attention due to their potential to serve as a very expressive variational ansatz for quantum many-body systems. Here we study the main factors governing the applicability of NQS to frustrated magnets by training neural networks to approximate ground stat...

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Detalhes bibliográficos
Publicado no:Nat Commun
Main Authors: Westerhout, Tom, Astrakhantsev, Nikita, Tikhonov, Konstantin S., Katsnelson, Mikhail I., Bagrov, Andrey A.
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7101385/
https://ncbi.nlm.nih.gov/pubmed/32221284
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-15402-w
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