3 papers
physics.optics2025
Photonics-Enhanced Graph Convolutional Networks
Yuan Wang, Oleksandr Kyriienko
Photonics can offer a hardware-native route for machine learning (ML). However, efficient deployment of photonics-enhanced ML requires hybrid workflows that integrate optical proce…
cond-mat.dis-nn2025
Polaritonic Machine Learning for Graph-based Data Analysis
Yuan Wang, Stefano Scali, Oleksandr Kyriienko
Photonic and polaritonic systems offer a fast and efficient platform for accelerating machine learning (ML) through physics-based computing. To gain a computational advantage, howe…
cond-mat.quant-gas2025
A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems
Yuan Wang, Surya T. Sathujoda, Krzysztof Sawicki +3
A plethora of next-generation all-optical devices based on exciton-polaritons have been proposed in latest years, including prototypes of transistors, switches, analogue quantum si…