In the dilute limit of the 1D infinite-U Hubbard model the charge Drude weight admits a closed-form expression whose low-temperature expansion, after regularization of the singular contribution, yields linear-in-T resistivity.
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Neural quantum states simulate dissipative many-body emission dynamics for approximately 40 atoms in dense 1D and 2D arrays, revealing prominent subradiant behavior at late times.
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.
A compact NQS architecture for VBS and doped sVBS states reaches high fidelity with fewer parameters than standard baselines by using solvable-point-guided designs and explicit spin-hole sector separation.
Real-time dynamics in the 2D Hubbard model show thermalization of double occupancy below a critical U_c but clear breakdown of thermalization above it.
Transformer wave functions for the J1-J2 Heisenberg model exhibit size-independent power-law decay of V-score with compute, with the exponent decreasing as frustration increases.
Spin-singlet entanglement onsets with the pseudogap in the Fermi-Hubbard model and remains confined to nearest-neighbor sites, unlike classical correlations.
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.
Numerical simulations show repulsive interactions enhance ferromagnetic correlations at high electron densities in the Kagome Hubbard model and extend the strong-correlation region toward half filling, linking smoothly to Nagaoka ferromagnetism.
DMRG on honeycomb cylinders and slave-boson mean-field theory find a robust t'-induced d-wave SC phase coexisting with armchair stripes for moderate t', transitioning to uniform nematic SC at large t' for doping 1/8.
citing papers explorer
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Transport and Temperature 1: Exact spectrum and resistivity for the one-dimensional infinite-$U$ Hubbard model
In the dilute limit of the 1D infinite-U Hubbard model the charge Drude weight admits a closed-form expression whose low-temperature expansion, after regularization of the singular contribution, yields linear-in-T resistivity.
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Neural network modeling of many-body super- and sub-radiant dynamics
Neural quantum states simulate dissipative many-body emission dynamics for approximately 40 atoms in dense 1D and 2D arrays, revealing prominent subradiant behavior at late times.
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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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Compact Spin-Charge Separated Neural Quantum States for Valence-Bond States
A compact NQS architecture for VBS and doped sVBS states reaches high fidelity with fewer parameters than standard baselines by using solvable-point-guided designs and explicit spin-hole sector separation.
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Breakdown of Thermalization from Real-Time Dynamics in the Two-Dimensional Hubbard Model
Real-time dynamics in the 2D Hubbard model show thermalization of double occupancy below a critical U_c but clear breakdown of thermalization above it.
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Scaling Laws for Neural-Network Quantum States
Transformer wave functions for the J1-J2 Heisenberg model exhibit size-independent power-law decay of V-score with compute, with the exponent decreasing as frustration increases.
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Emergence of spin entanglement with the pseudogap onset in the Fermi-Hubbard model
Spin-singlet entanglement onsets with the pseudogap in the Fermi-Hubbard model and remains confined to nearest-neighbor sites, unlike classical correlations.
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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.
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Finite-Temperature Ferromagnetic Correlations of the Kagome Lattice Hubbard Model
Numerical simulations show repulsive interactions enhance ferromagnetic correlations at high electron densities in the Kagome Hubbard model and extend the strong-correlation region toward half filling, linking smoothly to Nagaoka ferromagnetism.
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Superconductivity and competing orders in honeycomb $t$-$J$ model: interplay of lattice geometry and next-nearest-neighbor hopping
DMRG on honeycomb cylinders and slave-boson mean-field theory find a robust t'-induced d-wave SC phase coexisting with armchair stripes for moderate t', transitioning to uniform nematic SC at large t' for doping 1/8.
- Enhancing Neural-Network Variational Monte Carlo through Basis Transformation