Co-designed metaoptoelectronic deep learning
Carlos Mauricio Villegas Burgos, Pei Xiong, Liangyu Qiu, Yuhao Zhu, A. Nickolas Vamivakas · Optics Express · 2023
A metaoptical system is co-designed with electronic hardware to implement deep learning image recognition. The optical convolution block includes a reflective metasurface to perform one layer of a deep neural network. The optical and digital components are jointly optimized to perform an image classification task attaining 65% accuracy, which is close to the 66% accuracy of a fully-digital network where the optical block is replaced by a digital convolution layer.