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Photonic machine learning implementation for signal recovery in optical communications
Apostolos Argyris1, Julián Bueno2, Ingo Fischer2
1Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), Campus UIB, 07122, Palma de Mallorca, Spain. apostolos@ifisc.uib-csic.es.
Scientific Reports
|June 2, 2018
Summary
This study introduces a photonic reservoir computer for classifying distorted optical signals, improving bit-error-rate by 100x and extending communication range by over 75% for faster information processing.
Area of Science:
- Optoelectronics
- Machine Learning
- Optical Communications
Background:
- High-speed signal processing, especially for nonlinearly distorted optical signals, presents significant challenges.
- Analogue hardware utilizing nonlinear transient responses is emerging as a promising approach for rapid information processing.
Purpose of the Study:
- To introduce a simplified photonic reservoir computing scheme for classifying severely distorted optical communication signals.
- To address the challenges in processing time-dependent, high-speed, and nonlinearly distorted signals.
Main Methods:
- A simplified photonic reservoir computer was experimentally implemented.
- The direct bit detection process was converted into a pattern recognition problem.
- The scheme processes severely distorted optical communication signals after extended fiber transmission.
Main Results:
- An improvement in bit-error-rate by two orders of magnitude was achieved compared to direct signal classification.
- This enhancement effectively extends the potential communication range by over 75%.
- The photonic reservoir computer demonstrated robust data classification capabilities for distorted signals.
Conclusions:
- The developed photonic reservoir computing scheme offers a significant advancement in optical signal classification.
- The results show a substantial improvement in communication system performance and range.
- Future designs are expected to further optimize the system for real-time post-processing at telecom rates.
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