Scaling up photonic neural networks for AI hardware is hindered by manufacturing and environmental errors. This work introduces a hybrid algorithm that combines offline calibration with online optimization, achieving highly efficient hardware error correction with rapid convergence while avoiding common local optima issues.
- Zichao Zhao
- Huihui Zhu
- Jianyi Yang
