Block-product paired non-Gaussian fermionic states allow efficient classical additive-error approximation of transition amplitudes, overlaps, and high-weight correlators under free-fermionic dynamics using multivariate Pfaffian polynomials.
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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.
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.
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Classical simulation of free-fermionic dynamics and quantum chemistry with magic input
Block-product paired non-Gaussian fermionic states allow efficient classical additive-error approximation of transition amplitudes, overlaps, and high-weight correlators under free-fermionic dynamics using multivariate Pfaffian polynomials.
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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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Combining non-parametric quantum states and MERA tensor networks for ground-state optimization
A hybrid method uses fixed quantum annealing states as boundary resources for classical MERA tensor networks to improve ground-state approximations without deeper quantum circuits.