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LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search

Optics 2025-03-06 v1 Emerging Technologies
Authors: Amin Shafiee , Febin Sunny , Sudeep Pasricha , Mahdi Nikdast
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Abstract

We demonstrate a novel coherent photonic neural network using tunable phase-change-material-based couplers and neural architecture search. Compared to the MZI-based Clements network, our results indicate 85% reduction in the network footprint while maintaining the accuracy.

Keywords

photonic neural network neural architecture search phase-change material coherent optics LuxNAS

Cite

@article{arxiv.2503.03731,
  title  = {LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search},
  author = {Amin Shafiee and Febin Sunny and Sudeep Pasricha and Mahdi Nikdast},
  journal= {arXiv preprint arXiv:2503.03731},
  year   = {2025}
}

Comments

Paper accepted and to be presented at CLEO 2025

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