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Removing nodal and support-mismatch pathologies in Variational Monte Carlo via blurred sampling

Wan, Zhou-Quan et al.
arXiv (All) · Papers
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computational-physicsdisordered-systems-and-neural-networksquantum-physicsstrongly-correlated-electrons
Variational Monte Carlo (VMC) is a powerful and fast-growing method for optimizing and evolving parameterized many-body wave functions, especially with modern neural-network quantum states. In practice, however, the stochastic estimators that form the backbone of the method can become unstable or bi
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