Electromagnetic wave-based extreme deep learning with nonlinear time-Floquet entanglement

Abstract

Wave-based analog signal processing has been challenging for complex nonlinear operations such as data forecasting or classification. The authors propose here an analog neuromorphic platform for optical wave-based machine learning characterized by energy efficiency, speed and scalability.