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Enhanced performances of photonic reservoir computing using a semiconductor laser with random distributed optical
Optics Letters
|December 15, 2023
Summary
We developed a photonic time-delay reservoir computing system using random distributed optical feedback. This novel approach enhances performance for tasks like chaotic time series prediction compared to traditional methods.
Area of Science:
- Photonics
- Optical Computing
- Machine Learning
Background:
- Reservoir computing leverages complex systems for computation.
- Photonic implementations offer high-speed processing capabilities.
- Optical feedback is crucial for reservoir dynamics.
Purpose of the Study:
- To introduce and evaluate a photonic time-delay reservoir computing (TDRC) system.
- To investigate the impact of random distributed optical feedback on TDRC performance.
- To compare the proposed system against conventional TDRC architectures.
Main Methods:
- A photonic time-delay reservoir computing system was designed and built.
- Random distributed optical feedback was implemented under optical injection.
- System performance was assessed using memory ability calculations and benchmark tasks (chaotic time series prediction, nonlinear channel equalization).
Main Results:
- The proposed TDRC with random distributed optical feedback demonstrated superior performance.
- Numerical results indicated enhanced nonlinearity due to multiple external cavity modes.
- Experimental validation confirmed improved performance in chaotic time series prediction over single optical feedback systems.
Conclusions:
- Random distributed optical feedback significantly enhances TDRC performance.
- This approach offers a novel method for improving reservoir computing capabilities.
- The study highlights a promising direction for advanced optical computing systems.
