Thermal crosstalk is a major source of low accuracy when training Photonic Neural Networks. In this study, the authors present a model for Mach-Zehnder interferometer-based devices that accurately predicts thermal effects and accounts for fabrication variations, providing a reliable tool for photonic computing simulation and design.
- Andrea Marchisio
- Francesco Da Ros
- Paolo Bardella
