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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2020-07-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.2.033075 |