Complex-valued Optical Neural Networks Enabled by Multimode Interferometers and Phase Shifters

We propose a compact, complex-valued optical neural network accelerator that is composed of multimode interferometers and phase shifters and is enabled by coherent detection technology. Simulation results confirm its performance in neural network calculations, showcasing an accuracy rate of around 98% for classifying nonlinear datasets.