Dimension Reduction for Photonic Processing Using Tailored Disorder

Abstract

Integrated optical processing networks enable high computation speeds combined with low energy consumption. We present here a scheme for dimension reduction for optical neural networks, by orders of magnitudes, while still reaching high classification accuracies.