Neural network quantum states compute Efimov bound states for 3-6 boson systems and mass-imbalanced fermions at unitarity, matching known energies and reproducing scale invariance and wave function features.
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Derives an exact downfolded effective model by integrating out the rest space, states conditions for perturbative truncation, and formally recovers cRPA with corrections.
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Neural-network quantum states for solving few-body problems: application to Efimov physics
Neural network quantum states compute Efimov bound states for 3-6 boson systems and mass-imbalanced fermions at unitarity, matching known energies and reproducing scale invariance and wave function features.
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Exact downfolding and its perturbative approximation
Derives an exact downfolded effective model by integrating out the rest space, states conditions for perturbative truncation, and formally recovers cRPA with corrections.