Gradient-based optimization of quantum photonic circuits is achieved via differentiable tensor networks that model nonlinear unitary gates and stochastic losses at low photon numbers.
Collective coherence in planar semiconductor microcavities.Semi- conductor science and technology, 22(5):R1, 2007
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Optimizing Quantum Photonic Integrated Circuits using Differentiable Tensor Networks
Gradient-based optimization of quantum photonic circuits is achieved via differentiable tensor networks that model nonlinear unitary gates and stochastic losses at low photon numbers.