【作者】
白博文；
曹良才；
陈宏伟；
董建绩；
杜世银；
方璐；
冯甫；
符庭钊；
高云晖；
郭星星；
胡明列；
胡跃强；
黄正齐；
韩亚楠；
霍德旺；
郝昊；
江天；
李明；
林杰；
黎思腾；
李良晔；
刘润民；
孟祥彦；
彭韬；
司徒国海；
石暖暖；
孙琪真；
苏锦越；
王兴军；
项水英；
许丹琳；
徐智昊；
徐世博；
袁小聪；
杨其鹏；
姚云华；
张诗按；
周天贶；
张世雄；
张子扬；
【Author】
Bai Bowen;Cao Liangcai;Chen Hongwei;Dong Jianji;Du Shiyin;Fang Lu;Feng Fu;Fu Tingzhao;Gao Yunhui;Guo Xingxing;Hu Minglie;Hu Yueqiang;Huang Zhengqi;Han Yanan;Huo Dewang;Hao Hao;Jiang Tian;Li Ming;Lin Jie;Li Siteng;Li Liangye;Liu Runmin;Meng Xiangyan;Peng Tao;Situ Guohai;Shi Nuannuan;Sun Qizhen;Su Jinyue;Wang Xingjun;Xiang Shuiying;Xu Danlin;Xu Zhihao;Xu Shibo;Yuan Xiaocong;Yang Qipeng;Yao Yunhua;Zhang Shian;Zhou Tiankuang;Zhang Shixiong;Zhang Ziyang;State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University;State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University;Department of Electronic Engineering, Tsinghua University;Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology;Institute for Quantum Science and Technology, College of Science, National University of Defense Technology;Zhejiang Lab, Research Center for Humanoid Sensing;College of Advanced Interdisciplinary Studies, National University of Defense Technology;State Key Laboratory of Integrated Service Networks, Xidian University;Ultrafast Laser Laboratory & Key Laboratory of Opto-Electronic Information Technology, Ministry of Education, School of Precision Instruments and Opto-Electronics Engineering, Tianjin University;State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University;State Key Laboratory of Precision Spectroscopy, School of Physics and Electronic Science, East China Normal University;State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences;Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences;School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences;Center of Ultra-precision Optoelectronic Instrument, Harbin Institute of Technology;Key Laboratory of Space Laser Communication and Detection Technology, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences;School of Optical and Electronics Information, Huazhong University of Science and Technology;School of Information Mechanics and Sensing Engineering, Xidian University;Shanghai Institute of Laser Technology Co., Ltd.;Nanophotonics Research Centre, Institute of Microscale Optoelectronics, Shenzhen University;School of Intelligent Manufacturing, Hubei University;
【通讯作者】
曹良才;陈宏伟;董建绩;方璐;胡明列;胡跃强;江天;李明;林杰;司徒国海;孙琪真;王兴军;项水英;袁小聪;张诗按;
【机构】
北京大学电子学院；
清华大学精密仪器系；
清华大学电子工程系；
华中科技大学武汉光电国家研究中心；
国防科技大学理学院；
之江实验室前沿基础研究中心；
国防科技大学前沿交叉学科学院；
西安电子科技大学空天地一体化综合业务网全国重点实验室；
天津大学精密仪器与光电子工程学院超快激光研究室&光电信息技术教育部重点实验室；
湖南大学机械与运载工程学院；
华东师范大学精密光谱科学与技术高等研究院；
中国科学院半导体研究所光电子材料与器件全国重点实验室；
中国科学院大学材料科学与光电技术学院；
中国科学院大学电子电气与通信工程学院；
哈尔滨工业大学物理学院；
中国科学院上海光学精密机械研究所；
华中科技大学光学与电子信息学院；
西安电子科技大学信息力学与感知工程学院；
上海市激光技术研究所有限公司；
深圳大学纳米光子学研究中心；
湖北大学智能制造学院；
【摘要】 智能光子技术深度融合了人工智能和光子技术的优势，正在快速成长为引领未来生产生活变革的颠覆性技术，在生物医疗、自动驾驶、虚拟/增强现实等领域具有广阔的应用前景。一方面，人工智能赋能光子学研究新范式，为光子设计的优化、光学系统的升级和光学数据的分析提供了有效的途径。另一方面，随着深度学习、硅基光电子集成、新型光学材料、量子信息技术的发展与成熟，智能光子计算有望解决摩尔定律的困境、突破冯·诺伊曼架构的瓶颈，满足信息时代下5G、大数据、云计算、物联网等数字新基建对高性能计算的需求。从智能光子计算方面，介绍了基于微环谐振腔、多模干涉仪、纳米梁谐振腔和亚波长衍射单元等光学元器件和训练计算一体的片上集成光学神经网络，以及基于衍射光学元件和智能超表面的衍射神经网络，并介绍了光脉冲神经网络、储备池光计算和量子光计算，讨论了大规模光电智能计算芯片。从智能计算光学方面，介绍了智能计算成像、智能显微成像、智能计算显示、智能光纤传感和智能激光技术等各个方向的进展。更多还原
【Abstract】 With the profound integration of artificial intelligence and photonics technologies, intelligent photonics is evolving into a disruptive technology that looks poised to revolutionize industries and everyday life. The development of intelligent photonics finds applications in diverse fields, including biomedicine, autonomous driving, and virtual and augmented reality. Artificial intelligence(AI) is fueling a new paradigm of photonics research, providing efficient avenues for optimizing photonics design, advancing optical systems and analyzing optical information. Enabled by the maturity of deep learning, silicon-based optoelectronics, optical materials, and quantum information, photonic computing holds great potential to address the challenges faced by Moore’s law and the bottlenecks of the von Neumann architecture. Future implementations of photonic computing may meet the demands for high-performance computing in the digital infrastructure of the information era, such as those posed by 5G, big data, cloud computing, and the Internet of Things. In this study, we summarize recent advances in photonic computing, including on-chip integrated optical neural networks based on microring resonators, multimode interferometers, nanobeam resonators, and subwavelength diffractive units and integration of training and computation. We also highlight the progresses in diffractive neural networks enabled by diffractive optical elements and intelligent metasurfaces, as well as the developments in photonic spiking neural networks, reservoir computing, quantum photonic computing, and large-scale optoelectronic computing chips. In terms of computational optics, we review the advances across a broad range of areas, including computational imaging, microscopy, display, fiber-optic sensing, and laser technologies.更多还原
