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Optoelectronic reservoir computing: tackling noise-induced performance degradation
M C Soriano1, S Ortín, D Brunner
1Instituto de Física Interdisciplinar y Sistemas Complejos, IFISC (UIB-CSIC), Campus Universitat de les Illes Balears, Palma de Mallorca, Spain. miguel@ifisc.uib-csic.es
Optics Express
|February 8, 2013
Summary
We developed new methods for photonic information processing using optoelectronic oscillators. Noise effects on performance can be overcome with multi-level pre-processing masks, improving optical computing.
Area of Science:
- Photonics
- Optical Computing
- Information Processing
Background:
- Optoelectronic oscillators (OEOs) with delayed feedback are utilized for information processing.
- The impact of signal-to-noise ratio (SNR) on computational performance in OEOs is a critical factor.
- Understanding and mitigating noise effects are essential for reliable optical computing.
Purpose of the Study:
- To present improved strategies for photonic information processing using OEOs.
- To investigate the influence of finite signal-to-noise ratio on the computing performance of OEOs.
- To demonstrate methods for compensating performance degradation caused by noise.
Main Methods:
- Numerical simulations were employed to analyze the OEO system.
- Experimental validation was conducted to confirm simulation findings.
- Multi-level pre-processing masks were designed and applied to mitigate noise.
Main Results:
- The study quantifies the impact of finite signal-to-noise ratio on OEO computing performance.
- Performance degradation due to noise was observed and analyzed.
- Multi-level pre-processing masks were shown to effectively compensate for noise-induced performance loss.
Conclusions:
- Improved strategies for photonic information processing with OEOs have been developed.
- Noise significantly affects OEO computing performance, but this can be managed.
- Multi-level pre-processing masks offer a viable solution to enhance the robustness of optical computing systems against noise.
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