Integrated diffractive optical neural network with space-time interleaving
Tingzhao Fu, Yuyao Huang, Run Cang Sun, Honghao Huang, Wencan Liu, Sigang Yang, Hongwei Chen · Chinese Optics Letters · 2023
Integrated diffractive optical neural networks (DONNs) have significant potential for complex machine learning tasks with high speed and ultralow energy consumption.However, the on-chip implementation of a high-performance optical neural network is limited by input dimensions.In contrast to existing photonic neural networks, a space-time interleaving technology based on arrayed waveguides is designed to realize an on-chip DONN with high-speed, high-dimensional, and all-optical input signal modulation.To demonstrate the performance of the on-chip DONN with high-speed space-time interleaving modulation, an on-chip DONN with a designed footprint of 0.0945 mm 2 is proposed to resolve the vowel recognition task, reaching a computation speed of about 1.4 × 10 13 operations per second and yielding an accuracy of 98.3% in numerical calculation.In addition, the function of the specially designed arrayed waveguides for realizing parallel signal inputs using space-time conversion has been verified experimentally.This method can realize the on-chip DONN with higher input dimension and lower energy consumption.