Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems
Convolutional neural networks (CNNs) have been employed along with variational Monte Carlo methods for finding the ground state of quantum many-body spin systems with great success. However, it remains uncertain how CNNs, with a model complexity that scales at most linearly with the number of partic...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Physical Society
2025-01-01
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| coleção: | Physical Review Research |
| Acesso em linha: | http://doi.org/10.1103/PhysRevResearch.7.013094 |
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