大学物理 ›› 2025, Vol. 44 ›› Issue (6): 39-.doi: 10.16854/j.cnki.1000-0712.240595

• 教学讨论 • 上一篇    下一篇

人工智能在前沿物理教学中的探索-非线性拓扑层结构的光神经网络研究#br#

李志曈, 喻可,李昀衡,朱天宇,单思超,谷亚舟,叶寒    

  1. 1. 北京邮电大学 信息光子学与光通信全国重点实验室,北京 100876;2. 北京邮电大学 理学院,北京 100876;
    3. 北京邮电大学 未来学院,北京 100876;4. 北京邮电大学 信息与通信工程学院,北京 100876;
    5. 北京邮电大学 电子工程学院,北京 100876 
  • 收稿日期:2024-12-22 修回日期:2025-02-27 出版日期:2025-07-15 发布日期:2025-08-09
  • 作者简介:李志曈(1990—),男,北京人,北京邮电大学物理系讲师,博士,主要从事微纳米光子学器件研究工作.
  • 基金资助:
    国家自然科学基金青年项目(12404424); 信息光子学与光通信国家重点实验室自由探索性研究课题(IPOC2023ZT03); 中央高校基本科研业务费(2024ZCJH14)资助

The exploration of artificial intelligent method in physics teaching-nonlinear #br# layered topological structure in photonic neural network#br#

LI Zhitong1,2, YU Ke3, LI Yunheng3, ZHU Tianyu4, SHAN Sichao1, GU Yazhou1, YE Han1,5   

  1. 1. State Key Laboratory of Information Photonics and Optical Communications, 
    Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    2. School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    3. School of Future, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    4. School of Information and Communicaion Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    5. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2024-12-22 Revised:2025-02-27 Online:2025-07-15 Published:2025-08-09

摘要: 为了缅怀物理教育家赵凯华先生注重培养科学素质的教育理念,且贯彻人工智能赋能物理教学的政策方针,同时激发本科学生对前沿物理课题的研究兴趣,本文在理论和仿真中探讨拓扑层结构的非线性特征以及其作为非线性激活函数在光神经网络中的交叉应用.研究内容可作为物理系本科生专业前沿课程的开放性研究课题,帮助学生理解前沿学科拓扑光子学和光神经网络,有效推进教学与科研的结合.

关键词: 光神经网络, 拓扑边界态, 非线性光学

Abstract: In order to motivate and inspire the research interests of undergraduate students and help them to learn more about the frontier research area, we provide an example on how to combine the photonic neural network into the frontier research field of physics, specifically the layered structure in topological photonics. The results can be used as an open project for the frontier research courses for physics major senior undergraduate student. It can help them to deeply understand the basic models in topological photonics and artificial intelligent modeling method such as neural network. This paper provides a road towards developing the fusion between research and teaching. 

Key words:  photonic neural network, topological edge state, nonlinear photonics