English

Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits

Emerging Technologies 2024-04-17 v1 Machine Learning Optics

Abstract

Photonic integrated circuits play an important role in the field of optical computing, promising faster and more energy-efficient operations compared to their digital counterparts. This advantage stems from the inherent suitability of optical signals to carry out matrix multiplication. However, even deterministic phenomena such as thermal crosstalk make precise programming of photonic chips a challenging task. Here, we train and experimentally evaluate three models incorporating varying degrees of physics intuition to predict the effect of thermal crosstalk in different locations of an integrated programmable photonic mesh. We quantify the effect of thermal crosstalk by the resonance wavelength shift in the power spectrum of a microring resonator implemented in the chip, achieving modelling errors <0.5 pm. We experimentally validate the models through compensation of the crosstalk-induced wavelength shift. Finally, we evaluate the generalization capabilities of one of the models by employing it to predict and compensate for the effect of thermal crosstalk for parts of the chip it was not trained on, revealing root-mean-square-errors of <2.0 pm.

Keywords

Cite

@article{arxiv.2404.10589,
  title  = {Thermal Crosstalk Modelling and Compensation Methods for Programmable Photonic Integrated Circuits},
  author = {Isidora Teofilovic and Ali Cem and David Sanchez-Jacome and Daniel Perez-Lopez and Francesco Da Ros},
  journal= {arXiv preprint arXiv:2404.10589},
  year   = {2024}
}

Comments

10 pages, 10 figures. The paper has been submitted to the Journal of Lightwave Technology, a special issue on Photonic Computing, as an invited paper. It is under review

R2 v1 2026-06-28T15:55:53.189Z