English

Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing

Optics 2024-02-13 v2 Emerging Technologies Machine Learning Neural and Evolutionary Computing

Abstract

Microring resonators (MRRs) are promising devices for time-delay photonic reservoir computing, but the impact of the different physical effects taking place in the MRRs on the reservoir computing performance is yet to be fully understood. We numerically analyze the impact of linear losses as well as thermo-optic and free-carrier effects relaxation times on the prediction error of the time-series task NARMA-10. We demonstrate the existence of three regions, defined by the input power and the frequency detuning between the optical source and the microring resonance, that reveal the cavity transition from linear to nonlinear regimes. One of these regions offers very low error in time-series prediction under relatively low input power and number of nodes while the other regions either lack nonlinearity or become unstable. This study provides insight into the design of the MRR and the optimization of its physical properties for improving the prediction performance of time-delay reservoir computing.

Keywords

Cite

@article{arxiv.2310.09433,
  title  = {Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing},
  author = {Bernard J. Giron Castro and Christophe Peucheret and Darko Zibar and Francesco Da Ros},
  journal= {arXiv preprint arXiv:2310.09433},
  year   = {2024}
}

Comments

20 pages, 11 figures, submitted to Optics Express (reviewed version)