Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation
Direct sampling from a Slater determinant is combined with an autoregressive deep neural network as a Jastrow factor into a fully autoregressive Slater-Jastrow ansatz for variational quantum Monte Carlo, which allows for uncorrelated sampling. The elimination of the autocorrelation time leads to a...
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| Format: | Article |
| Language: | English |
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SciPost
2023-06-01
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| Series: | SciPost Physics |
| Online Access: | https://scipost.org/SciPostPhys.14.6.171 |