Enhancement of Reservoir Computing Performance via Ultrashort Optical Feedback
Abstract An enhanced delay-based photonic reservoir computing system assisted by ultrashort optical feedback is proposed and numerically demonstrated. Specifically, a picosecond-scale ultrashort optical feedback loop is integrated into a conventional semiconductor laser-based single-feedback reservoir computing (RC) architecture. The ultrashort feedback loop acts as a fast dynamical regulator, enabling multiscale temporal dynamics while largely preserving the structural simplicity of the single-feedback configuration. The RC performance is evaluated in terms of separability and consistency. The results show that appropriately selected ultrashort feedback parameters can increase between-class separation and reduce within-class dispersion while maintaining reproducible reservoir responses. Moreover, the memory capacity performance and benchmark evaluations using Santa Fe chaotic time-series prediction and nonlinear channel equalization demonstrate that the proposed system outperforms the conventional single-feedback reservoir.
Authors
- Zebin Li (ORCID: https://orcid.org/0009-0001-6174-4762)
- Chenpeng Xue (ORCID: https://orcid.org/0000-0001-8460-8993)
- Ting Li (ORCID: https://orcid.org/0000-0003-4962-6875)
- Zuxing 祖兴 Zhang 张
- Yanhua Hong
Institutions
- Bangor University (GB)
- Nanjing University of Posts and Telecommunications (CN)
Publication Details
- Journal
- Chinese Physics B
- Published
- 2026-10-28
- DOI
- https://doi.org/10.1088/1674-1056/aeba67
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China