(Peer-Reviewed) Massively parallel and programmable photonic differential equation solver
Jiahao Wang 汪嘉豪 ¹ ², Wen Chen 陈闻 ³, Zhou Zhou 周舟 ⁴, Dongyu Hu 胡冬煜 ¹ ⁵, Zile Li 李子乐 ¹ ², Peng Chen 陈鹏 ³, Yan-qing Lu 陆延青 ³, Shuang Zhang 张霜 ⁶, Cheng-Wei Qiu 仇成伟 ⁴, Shaohua Yu 余少华 ⁷, Guoxing Zheng 郑国兴 ¹ ² ⁵
¹ Electronic Information School, Wuhan University, Wuhan 430072, China
中国 武汉 武汉大学电子信息学院
² Peng Cheng Laboratory, Shenzhen 518055, China
中国 深圳 鹏城实验室
³ National Laboratory of Solid State Microstructures, and College of Engineering and Applied Sciences, Nanjing University, Nanjing 210093, China
中国 南京 南京大学现代工程与应用科学学院 固体微结构物理国家重点实验室
⁴ NUS Graduate School and Department of Electrical and Computer Engineering, National University of Singapore, Singapore 119077, Singapore
⁵ Wuhan Institute of Quantum Technology, Wuhan 430206, China
中国 武汉 武汉量子技术研究院
⁶ Department of Physics, University of Hong Kong, Hong Kong 999077, China
中国 香港 香港大学物理系
⁷ Chinese Academy of Engineering, Beijing 100088, China
中国 北京 中国工程院
Opto-Electronic Advances, 2026-05-15
Abstract
Calculus equations are fundamental mathematical tools, whose numerical solution is crucial. Existing solvers with optical analog computing struggle to simultaneously integrate programmability and parallel processing, thus constraining computational speed and density. Herein, we propose a reconfigurable all-optical platform capable of solving variable-coefficient first-order ordinary differential equations in parallel.
We utilize the electrically tunable liquid crystals (LCs) as computing kernels to address these equations. The solver's applicability to canonical scientific problems, such as heat conduction and resistor-capacitor circuit dynamics, is further showcased with simultaneous solving of 158 equations with only one single forward propagation of light. Experimental results confirm the efficacy of the platform in solving equations in an ultra-fast, reconfigurable, broadband, and parallel manner.
Heterogeneously integrated micro-ring with SnS₂ for dual-functional optical modulation and photodetection
Jinyi Du, Lidan Lu, Xu Zhang, Bofei Zhu, Wenbo Bo, Yingjie Xu, Guang Chen, Yanlin He, Guanghui Ren, Xiaoping Lou, Zheng You, Lianqing Zhu
Opto-Electronic Advances
2026-08-25
Hardware-aware lightweight photonic spiking neural network for pattern classification
Shuiying Xiang, Yahui Zhang, Shangxuan Shi, Haowen Zhao, Dianzhuang Zheng, Xingxing Guo, Yanan Han, Ye Tian, Liyue Zhang, Yuechun Shi, Yue Hao
Opto-Electronic Advances
2026-08-25
PhyspeNet: An empirical physics-aware network for adaptive speckle reconstructive spectrometry
Junrui Liang, Min Jiang, Jun Li, Zhongming Huang, Junhong He, Yanting Guo, Yanzhao Ke, Jun Ye, Jiangming Xu, Jinyong Leng, Pu Zhou
Opto-Electronic Advances
2026-08-25
A 36 × 240 Gbps hybrid mode/wavelength division multiplexing transmitter using lithium niobate on insulator
Mingyu Zhu, Weihan Wang, Ruitao Ma, Aoyun Gao, Chun Gao, Zexu Wang, Fei Huang, Zhenyuan Bao, Dajian Liu, Jiaxuan Gan, Zejie Yu, Huan Li, Weike Zhao, Daoxin Dai
Opto-Electronic Advances
2026-08-25
Light-perception-based interactive control of an underwater digital twin hand
Jinlong Lu, Chao Zhang, Hengchang Nong, Dongying Wang, Hongyu Zhou, Junjie Weng, Yuehua Deng, Yang Yu, Qiang Bian, Jianfa Zhang, Chaofan Zhang, Zhenrong Zhang, Junbo Yang
Opto-Electronic Advances
2026-07-10