Neural network wave functions and the sign problem
Neural quantum states (NQS) are a promising approach to study many-body quantum physics. However, they face a major challenge when applied to lattice models: convolutional networks struggle to converge to ground states with a nontrivial sign structure. We tackle this problem by proposing a neural ne...
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Published in | Physical review research Vol. 2; no. 3; p. 033075 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
American Physical Society
15.07.2020
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Online Access | Get full text |
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