Learning lattice quantum field theories with equivariant continuous flows
We propose a novel machine learning method for sampling from the high-dimensional probability distributions of Lattice Field Theories, which is based on a single neural ODE layer and incorporates the full symmetries of the problem. We test our model on the $\phi^4$ theory, showing that it systematic...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SciPost
2023-12-01
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| coleção: | SciPost Physics |
| Acesso em linha: | https://scipost.org/SciPostPhys.15.6.238 |
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