Prospects for photonic implementations of neuromorphic devices and systems

Abstract

Analog signal processing is one of the promising paths to enhance performance and power efficiency of neural network inference and training. Recently, analog optical neuromorphic computing concepts also gained increasing interest. We discuss properties of photonic systems in view of neuromorphic computing, applications thereof and present corresponding devices and subsystems.