ReLU-like nonlinear activation from an Nd:YVO random laser

Abstract

This work shows a ReLU-like activation function generated by the emission of a Nd:YVO random laser. The emission response was fitted and implemented as a custom activation function in a neural network trained on the MNIST dataset, achieving an accuracy of 96%. This indicates the potential of random lasers as optical activations for future optical neural network architectures.