A hybrid CV-quantum neural network with a classical readout is shown in simulation to classify two- and three-mode states as separable or entangled with over 99% accuracy, and a universal-approximation theorem is stated for informationally complete readouts.
Separability criterion for density matrices.Physical Review Letters, 77(8):1413, 1996
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Hybrid Quantum-Classical Learning of Nonlinear Entanglement Witnesses via Continuous-Variable Quantum Neural Networks
A hybrid CV-quantum neural network with a classical readout is shown in simulation to classify two- and three-mode states as separable or entangled with over 99% accuracy, and a universal-approximation theorem is stated for informationally complete readouts.