QPSK label processing using complex-valued neural network learned with back propagation of teacher signals

Abstract

Optical neural-network circuit to process QPSK labels for photonic label routing is proposed, which consists of optical amplifiers, phase shifters and nonlinear threshold devices. Parameters in these devices are learned with back-propagation of teacher signals.