A Neuro Metasurface Mode-Router for Fiber Mode Demultiplexing and Communications  

作　　者：Yu Zhao Huijiao Wang Zile Li Tian Huang Chao Yang Ying Qiu Yuhan Gong Zhou Zhou Congling Liang Lei Yu Jin Tao Shaohua Yu Guoxing Zheng 

机构地区：[1]Electronic Information School&School of Microelectronics,Wuhan University,Wuhan 430072,China [2]Peng Cheng Laboratory,Shenzhen 518055,China [3]State Key Laboratory of Optical Communication Technologies and Networks,China Information Communication Technologies Group Corporation(CICT),Wuhan 430074,China [4]Wuhan Institute of Quantum Technology,Wuhan 430206,China

出　　处：《Engineering》2025年第2期88-96,共9页工程(英文)

基　　金：supported by the National Key Research and Development Program of China(2023YFB2804704);the National Natural Science Foundation of China(12174292,12374278,and 62105250).

摘　　要：Advancements in mode-division multiplexing(MDM)techniques,aimed at surpassing the Shannon limit and augmenting transmission capacity,have garnered significant attention in optical fiber communica-tion,propelling the demand for high-quality multiplexers and demultiplexers.However,the criteria for ideal-mode multiplexers/demultiplexers,such as performance,scalability,compatibility,and ultra-compactness,have only partially been achieved using conventional bulky devices(e.g.,waveguides,grat-ings,and free space optics)—an issue that will substantially restrict the application of MDM techniques.Here,we present a neuro-meta-router(NMR)optimized through deep learning that achieves spatial multi-mode division and supports multi-channel communication,potentially offering scalability,com-patibility,and ultra-compactness.An MDM communication system based on an NMR is theoretically designed and experimentally demonstrated to enable simultaneous and independent multi-dataset transmission,showcasing a capacity of up to 100 gigabits per second(Gbps)and a symbol error rate down to the order of 104,all achieved without any compensation technologies or correlation devices.Our work presents a paradigm that merges metasurfaces,fiber communications,and deep learning,with potential applications in intelligent metasurface-aided optical interconnection,as well as all-optical pat-tern recognition and classification.

关 键 词：Metasurfaces Deep learning Mode-division multiplexing Fiber communication 

分 类 号：TN929.1[电子电信—通信与信息系统]