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.
Ultrafast second-order nonlinear photon- ics—from classical physics to non-gaussian quantum dynamics: a tutorial.Advances in Optics and Photonics, 16(2):347–538
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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.