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Single photonic reservoir dual-task simultaneous computing based on a semiconductor ring laser with filtered optical
Optics Express
|August 13, 2025
Summary
This study introduces a single photonic reservoir using a semiconductor ring laser with filtered optical feedback (FOF) for robust reservoir computing (RC). The FOF enhances simultaneous dual-mode operation and improves RC performance against parameter fluctuations.
Area of Science:
- Photonics
- Optical Engineering
- Computational Science
Background:
- Reservoir computing (RC) offers a powerful framework for processing complex time-series data.
- Semiconductor ring lasers are promising candidates for photonic RC due to their rich dynamics.
- Enhancing the stability and robustness of photonic RC systems remains a key challenge.
Purpose of the Study:
- To propose and investigate a single photonic reservoir based on a semiconductor ring laser with filtered optical feedback (FOF).
- To achieve simultaneous reservoir computing using multiplexed directional modes.
- To enhance the robustness of reservoir computing operations.
Main Methods:
- Utilizing a semiconductor ring laser with filtered optical feedback (FOF) incorporating a Fabry-Perot filter.
- Performing numerical investigations of laser dynamics under FOF conditions.
- Evaluating reservoir computing performance on benchmark tasks: complex time series prediction and pattern classification.
Main Results:
- Filtered optical feedback (FOF) establishes a dynamically stable, steady state for both directional modes simultaneously.
- FOF expands the parameter ranges for preferred reservoir computing (RC) states, especially with optimized detuning.
- RC operations demonstrate significantly enhanced robustness against parameter fluctuations in both single-task and dual-task computing.
Conclusions:
- The proposed FOF system enables simultaneous dual-mode reservoir computing with improved stability.
- Filtered optical feedback enhances the robustness of photonic reservoir computing against parameter variations.
- This approach offers a promising pathway for developing more reliable and high-performance photonic computing systems.

