OECC/PSC 2025
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Session Details

Oral SessionsP2. Photonics for Computing and Deep Learning Applications

[TuG3]Algorithms for Photonic Computing

Tue. Jul 1, 2025 2:00 PM - 4:00 PM JST
Tue. Jul 1, 2025 5:00 AM - 7:00 AM UTC
Room G (2F 206)
Presider: Shota Kita (NTT Corporation)
2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)

[TuG3-1]Simple Machine Learning Using Multi-Port Optical Directional Couplers: Comparing Coherent and Non-Coherent Approaches

○Yushan Hu1, Keigo Takabayashi1, Ryota Nakayama1, Satoshi Sunada1, Takeo Maruyama1 (1.Kanazawa University)
2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[TuG3-2]An MZI-based Block Optical Neural Network based on LDU Structure

○Qi Chen1, Dewei wang1, Zili Cai1, Tian Zhang1, Jian Dai1, Kun Xu1 (1.State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications)
2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)

[TuG3-3]Modeling of Photonic Spiking Neural Network with Magneto-Optic Neuron

○Gaku Takagi1, Yuya Shoji2 (1.Department of Electrical and Electronic Engineering, Institute of Science Tokyo, 2.Laboratory for Future Interdisciplinary Research of Science and Technology, Institute of Science Tokyo)
2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)

[TuG3-4]A Novel CNN-Based Nonlinearity Correction Method for FMCW LiDAR

○Hong Ye1, Yi Hao1, Qingyang Zhu1, Qian Li2, H. Y. Fu1 (1.Tsinghua University, 2.Peking University)
3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)

[TuG3-5]Accelerating Distributed Machine Learning with AllReduce Reconfiguration Based on Optical Circuit Switching

Zilong Ye1,2, ○Philip N. Ji1, Ting Wang1 (1.NEC Laboratories America, 2.California State University Los Angeles)
3:15 PM - 3:45 PM JST(6:15 AM - 6:45 AM UTC)Invited

[TuG3-6]I/O-efficient Computing with Integrated Photonic Iterative Processors

○Minjia Chen1, Chunhui Yao1, Yizhi Wang1, Adrian Wonfor1, Shuai Yang1, Richard Penty1, Qixiang Cheng1 (1.University of Cambridge)
3:45 PM - 4:00 PM JST(6:45 AM - 7:00 AM UTC)

[TuG3-7]Optical Diffraction Neural Network In-situ Clustering for Full Self-learning Ability

○Qiaomu Hu1,2, Rui Zeng1,2, Tiange Wu1,2, Nuoyan Li1,2, Yunlong Li1,2, Yiqiang Ou1,2, Shuang Zheng1,2,3, Minming Zhang1,2,3 (1.Huazhong University of Science & Technology, 2.National Engineering Research Center for Next Generation Internet Access System, 3.Optics Valley Laboratory)
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