A differentiable tensor-network method optimizes nonlinear quantum photonic circuits, including losses, and finds that moderate nonlinearity can beat linear circuits for phase sensing.
Phase-space framework for noisy intermediate-scale quantum optical neural networks
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Optimizing Quantum Photonic Integrated Circuits using Differentiable Tensor Networks
A differentiable tensor-network method optimizes nonlinear quantum photonic circuits, including losses, and finds that moderate nonlinearity can beat linear circuits for phase sensing.