Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties
arXiv:2103.07019
Abstract
We propose an optimization method to improve power efficiency and robustness in silicon-photonic-based coherent integrated photonic neural networks. Our method reduces the network power consumption by 15.3% and the accuracy loss under uncertainties by 16.1%.
This paper has been accepted at the IEE/OSA Optical Fiber Communication Conference (OFC) 2021 and will appear in OFC proceedings