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20242026
most citedSolving the Hubbard model with Neural Quantum States

3 citations · 6 across the 8 of their papers we have counts for

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cond-mat.str-el2026

Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions

Yuntian Gu, Zeyao Han, Wenrui Li +5

Neural Quantum States (NQS) are now among the most accurate methods for studying strongly correlated many-fermion systems, outperforming existing many-body approaches for large sys…