Fig. 1 | npj Quantum Information

Fig. 1

From: Quantum optical neural networks

Fig. 1

Quantum optical neural network (QONN). a An example of a classical neural network architecture. Hidden layers are rectified linear units (ReLUs) and the output neuron uses a sigmoid activation function to map the output into the range (0, 1). b An example of our quantum optical neural network (QONN) architecture. Inputs are single photon Fock states. The single-site nonlinearities are given a Kerr-type interaction applying a phase quadratic in the number of photons. Readout is given by photon-number-resolving detectors, which measure the photon number at each output mode

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