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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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.
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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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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.