LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search
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.
Authors
- Sudeep Pasricha (ORCID: https://orcid.org/0000-0002-0846-0066)
- Febin Sunny (ORCID: https://orcid.org/0000-0002-3619-1465)
- Mahdi Nikdast (ORCID: https://orcid.org/0000-0003-4930-2985)
- Amin Shafiee (ORCID: https://orcid.org/0000-0002-7814-2370)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jps100_93
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00