HQRN creates an exact functional match to classical residual networks on basis inputs while using quantum correlations for better performance on mixed states in digit recognition and entanglement classification.
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Experiments, numerics, and analytics on Rydberg atoms in a Lieb lattice reveal density-wave phases including a fluctuation-stabilized collinear order, a quantum liquid-vapor transition with hysteresis, and kinetically constrained slow relaxation after quenches.
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Bridge the Gap between Classical and Quantum Neural Networks with Residual Connections
HQRN creates an exact functional match to classical residual networks on basis inputs while using quantum correlations for better performance on mixed states in digit recognition and entanglement classification.