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Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties

Emerging Technologies 2021-03-15 v1

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%.

Keywords

Cite

@article{arxiv.2103.07019,
  title  = {Optimizing Coherent Integrated Photonic Neural Networks under Random Uncertainties},
  author = {Sanmitra Banerjee and Mahdi Nikdast and Krishnendu Chakrabarty},
  journal= {arXiv preprint arXiv:2103.07019},
  year   = {2021}
}

Comments

This paper has been accepted at the IEE/OSA Optical Fiber Communication Conference (OFC) 2021 and will appear in OFC proceedings

R2 v1 2026-06-24T00:02:08.187Z