Photonic and electronic integrated technologies for neuromorphic computing

Abstract

Analog signal processing can improve the power-efficiency of neural network training and inference. The properties and application scenarios of electrical and photonic integrated technologies will be discussed. The prospects of the various technological concepts are compared and evaluated.