EXIDOS achieves chemical accuracy for multiple excited states in small molecules by variational optimization of low-energy subspaces using non-orthogonal Slater determinants without explicit orthogonality or symmetry constraints.
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In the 2D Hubbard model, the long-time double occupancy after a ramp quench matches the canonical thermal value for U≤3 but deviates above U≈3–4, suggesting thermalization breakdown.
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.
citing papers explorer
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Variational low-energy subspaces for chemically accurate excited states
EXIDOS achieves chemical accuracy for multiple excited states in small molecules by variational optimization of low-energy subspaces using non-orthogonal Slater determinants without explicit orthogonality or symmetry constraints.
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Thermalization Dynamics in the Two-Dimensional Hubbard Model with Neural-Network Quantum States
In the 2D Hubbard model, the long-time double occupancy after a ramp quench matches the canonical thermal value for U≤3 but deviates above U≈3–4, suggesting thermalization breakdown.
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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.