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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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| Publicado en: | Nat Commun |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | 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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