Vol. 54, Issue 1, pp. 97-104

Vol. 54 Issue 1 pp. 97-104

A MZI-based optical neural network for image classification

Ye Zhang, Saining Zhang, Danni Zhang, Ruiting Wang, Yanmei Su, Junkai Yi, Pengfei Wang, Guangzhen Luo, Xuliang Zhou, Jiaoqing Pan


optical neural network, image classification, Mach–Zehnder interferometer


In recent years, with the expansion of information, artificial intelligence technology has been developed and used in various fields. Among them, optical neural network provides a new type of special neural network accelerator chip solution, which has the advantages of high speed, high bandwidth, and low power consumption. In this paper, we construct an optical neural network based on Mach–Zehnder interferometer. The experimental results on the image classification of MNIST handwritten digitals show that the optical neural network has high accuracy, fast convergence and good scalability.

Vol. 54
Issue 1
pp. 97-104

0.22 MB
OPTICA APPLICATA - a quarterly of the Wrocław University of Science and Technology, Faculty of Fundamental Problems of Technology