LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search
arXiv:2503.03731
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.
Paper accepted and to be presented at CLEO 2025