Polarization and wavelength routers based on difractive neural network  

作　　者：Xiaohong Lin Yulan Fu Kuo Zhang Xinping Zhang Shuai Feng Xiaoyong Hu 

机构地区：[1]School of Physics and Optoelectronic Engineering,Beijing University of Technology,Beijing 100124,China [2]School of Science,Minzu University of China,Beijing 100081,China [3]State Key Laboratory for Mesoscopic Physics and Department of Physics,Collaborative Innovation Center of Quantum Matter,Beijing Academy of Quantum Information Sciences,Nano-Optoelectronics Frontier Center of Ministry of Education,Peking University,Beijing 100871,China [4]Collaborative Innovation Center of Extreme Optics,Shanxi University,Taiyuan 030006,China [5]Peking University Yangtze Delta Institute of Optoelectronics,Nantong 226010,China

出　　处：《Frontiers of Optoelectronics》2024年第3期17-28,共12页光电子前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.11734001,11704017,91950204,92150302,12274478,and 61775244);the National Key Research and Development Program of China(Nos.2018YFB2200403,2021YFB2800604,and 2021YFB2800302);the Natural Science Foundation of Beijing Municipality(No.Z180015).

摘　　要：In the feld of information processing,all-optical routers are signifcant for achieving high-speed,high-capacity signal processing and transmission.In this study,we developed three types of structurally simple and fexible routers using the deep difractive neural network(D2 NN),capable of routing incident light based on wavelength and polarization.First,we implemented a polarization router for routing two orthogonally polarized light beams.The second type is the wavelength router that can route light with wavelengths of 1550,1300,and 1100 nm,demonstrating outstanding performance with insertion loss as low as 0.013 dB and an extinction ratio of up to 18.96 dB,while also maintaining excellent polarization preservation.The fnal router is the polarization-wavelength composite router,capable of routing six types of input light formed by pairwise combinations of three wavelengths(1550,1300,and 1100 nm)and two orthogonal linearly polarized lights,thereby enhancing the information processing capability of the device.These devices feature compact structures,maintaining high contrast while exhibiting low loss and passive characteristics,making them suitable for integration into future optical components.This study introduces new avenues and methodologies to enhance performance and broaden the applications of future optical information processing systems.

关 键 词：Optical difractive neural network All-optical routers Polarization degree of freedom Wavelength degree of freedom 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TN929.1[自动化与计算机技术—控制科学与工程]