Training biases in machine learning for the analytic continuation of quantum many-body Green's functions
We address the problem of analytic continuation of imaginary-frequency Green's functions, which is crucial in many-body physics, using machine learning based on a multilevel residual neural network. We specifically address potential biases that can be introduced due to the use of artificially create...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Physical Society
2022-11-01
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| Serie: | Physical Review Research |
| Accesso online: | http://doi.org/10.1103/PhysRevResearch.4.043082 |
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