Multimode diffractive optical neural network  

作　　者：Run Sun Tingzhao Fu Yuyao Huang Wencan Liu Zhenmin Du Hongwei Chen 

机构地区：[1]Tsinghua University,Beijing National Research Center for Information Science and Technology,Department of Electronic Engineering,Beijing,China [2]National University of Defense Technology,College of Advanced Interdisciplinary Studies,Hunan Provincial Key Laboratory of Novel Nano-Optoelectronic Information Materials and Devices,Changsha,China

出　　处：《Advanced Photonics Nexus》2024年第2期49-58,共10页先进光子学通讯（英文）

基　　金：supported by the National Natural Science Foundation of China (Grant No.62135009);the Beijing Municipal Science and Technology Commission,Administrative Commission of Zhongguancun Science Park (Grant No.Z221100005322010).

摘　　要：On-chip diffractive optical neural networks(DONNs)bring the advantages of parallel processing and low energy consumption.However,an accurate representation of the optical field’s evolution in the structure cannot be provided using the previous diffraction-based analysis method.Moreover,the loss caused by the open boundaries poses challenges to applications.A multimode DONN architecture based on a more precise eigenmode analysis method is proposed.We have constructed a universal library of input,output,and metaline structures utilizing this method,and realized a multimode DONN composed of the structures from the library.On the designed multimode DONNs with only one layer of the metaline,the classification task of an Iris plants dataset is verified with an accuracy of 90%on the blind test dataset,and the performance of the one-bit binary adder task is also validated.Compared to the previous architectures,the multimode DONN exhibits a more compact design and higher energy efficiency.

关 键 词：optical computing mode multiplexing diffraction optical neural network 

分 类 号：TN2[电子电信—物理电子学]