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physics.optics2026
Meta-Optics-Based Diffractive Learning Machine for Angle-Multiplexed Multi-Task Processing
Mingcheng Luo, Jianmin Xiong, Jiayong Peng +4
All-optical diffractive neural networks (DNNs) offer low latency, low energy consumption, and massive parallelism. However, their scalability in terms of network scale and multi-ta…
physics.optics2026
Pre-training Enables Extraordinary All-optical Image Denoising
Xudong Lv, Yuxiang Sun, Shuo Wang +3
Optical neural networks are emerging as powerful machine learning and information processing tools because of their potential advantages in speed and energy efficiency. The trainin…