SCALE and ACE are new convolutional backflow architectures for Neural Quantum States that deliver O(N^3) scaling with high accuracy and over 40x speedup on Hubbard and t-J models up to 32x32 lattices.
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In the 2D attractive Hubbard model, Tc is enhanced near Van Hove singularities only for weak interactions, while the global maximum Tc occurs at intermediate coupling away from the singularity.
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Pareto Frontier of Neural Quantum States: Scalable, Affordable, and Accurate Convolutional Backflow for Strongly Correlated Lattice Fermions
SCALE and ACE are new convolutional backflow architectures for Neural Quantum States that deliver O(N^3) scaling with high accuracy and over 40x speedup on Hubbard and t-J models up to 32x32 lattices.
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Superconductivity near two-dimensional Van Hove singularities: a determinant quantum Monte Carlo study
In the 2D attractive Hubbard model, Tc is enhanced near Van Hove singularities only for weak interactions, while the global maximum Tc occurs at intermediate coupling away from the singularity.