4.6 Article

Microring resonators with external optical feedback for time delay reservoir computing

Journal

OPTICS EXPRESS
Volume 30, Issue 1, Pages 522-537

Publisher

OPTICAL SOC AMER
DOI: 10.1364/OE.444063

Keywords

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Categories

Funding

  1. H2020 Future and Emerging Technologies [899265]
  2. Ministerio de Ciencia, Innovacion y Universidades [MDM-2017-0711, PID2019-111537GB-C21, PID2019-111537GBC22]
  3. European Research Council [788793]
  4. European Research Council (ERC) [788793] Funding Source: European Research Council (ERC)

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This study presents a detailed numerical investigation of the operation of a silicon microring resonator (MRR) in the presence of external optical feedback in a time delay reservoir computing scheme. The results demonstrate the versatility of the MRR in solving computing tasks with diverse memory requirements, where its nonlinearity and the photodetection nonlinearity can contribute to efficient computation.
Microring resonators (MRRs) are a key photonic component in integrated devices, due to their small size, low insertion losses, and passive operation. While the MRRs have been established for optical filtering in wavelength-multiplexed systems, the nonlinear properties that they can exhibit give rise to new perspectives on their use. For instance, they have been recently considered for introducing optical nonlinearity in photonic reservoir computing systems. In this work, we present a detailed numerical investigation of a silicon MRR operation, in the presence of external optical feedback, in a time delay reservoir computing scheme. We demonstrate the versatility of this compact, passive device, by exploiting different operating regimes and solving computing tasks with diverse memory requirements. We show that when large memory is required, as it occurs in the Narma 10 task, the MRR nonlinearity does not play a significant role when the photodetection nonlinearity is involved, while the contribution of the external feedback is significant. On the contrary, for computing tasks such as the Mackey-Glass and the Santa Fe chaotic timeseries prediction, the MRR and the photodetection nonlinearities contribute both to efficient computation. The presence of optical feedback improves the prediction of the Mackey-Glass timeseries while it plays a minor role in the Santa Fe timeseries case. (c) 2021 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

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