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

arXiv: https://arxiv.org/abs/2310.09433 · HTML: https://mlsanity.com/paper/2310.09433/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 54 references that are in the map.
- First posted on arXiv 13 Oct 2023.

## Builds on (most cited first, 5 of 5)

- [Neuromorphic Silicon Photonic Networks](https://mlsanity.com/paper/1611.02272/) (2016)
- [Dimension of Reservoir Computers](https://mlsanity.com/paper/1912.06472/) (2019)
- [Microring resonators with external optical feedback for time delay reservoir computing](https://mlsanity.com/paper/2109.11486/) (2021)
- [Dimensional criterion for forecasting nonlinear systems by reservoir computing](https://mlsanity.com/paper/2202.05159/) (2022)
- [Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing](https://mlsanity.com/paper/2307.07011/) (2023)

## Built on by (most cited first, 3 of 3)

- [Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator](https://mlsanity.com/paper/2310.16588/) (2023)
- [Memory Capacity Analysis of Time-delay Reservoir Computing Based on Silicon Microring Resonator Nonlinearities](https://mlsanity.com/paper/2406.01812/) (2024)
- [Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator](https://mlsanity.com/paper/2407.21189/) (2024)

## Abstract (arXiv)

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.