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.
Title resolution pending
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
fields
cond-mat.str-el 5years
2026 5verdicts
UNVERDICTED 5representative citing papers
A new non-engineered SU(4) fermion model exhibits high-temperature charge-4e superconductivity via unbiased quantum Monte Carlo, with Tc increasing linearly with coupling and a BKT transition marked by a charge-4e stiffness jump.
Three Transformer backflow fermionic wave functions for the finite-doping Hubbard model converge, after accuracy improvements, to the same state with coexisting superconducting and stripe orders, demonstrating that variational energy is insufficient to identify the ground state.
Additional interaction terms enhance the Seebeck coefficient and produce multiple doping-dependent sign changes tied to gap opening and Fermi-surface topology changes.
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.
citing papers explorer
-
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.
-
High-temperature charge-4e superconductivity in SU(4) interacting fermions
A new non-engineered SU(4) fermion model exhibits high-temperature charge-4e superconductivity via unbiased quantum Monte Carlo, with Tc increasing linearly with coupling and a BKT transition marked by a charge-4e stiffness jump.
-
Beyond Variational Bias: Resolving Intertwined Orders in the Hubbard Model
Three Transformer backflow fermionic wave functions for the finite-doping Hubbard model converge, after accuracy improvements, to the same state with coexisting superconducting and stripe orders, demonstrating that variational energy is insufficient to identify the ground state.
-
The thermopower properties of interacting systems
Additional interaction terms enhance the Seebeck coefficient and produce multiple doping-dependent sign changes tied to gap opening and Fermi-surface topology changes.
-
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.