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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A two-channel model demonstrates stabilization of three-body resonances into bound states in the continuum via parameter tuning, shown in 1D mass-imbalanced and 3D Efimov systems with magnetic field control.
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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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Stabilization of three-body resonances to bound states in a continuum
A two-channel model demonstrates stabilization of three-body resonances into bound states in the continuum via parameter tuning, shown in 1D mass-imbalanced and 3D Efimov systems with magnetic field control.