Paper
21 May 2018 Dual-mode semiconductor lasers in reservoir computing
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Abstract
Delay-based reservoir computing schemes using semiconductor lasers have proven robustness and good performances for a wide range of tasks. These schemes are especially desirable because of their inherent high speed in data processing and the promise of miniaturization. One such scheme is based on a single-mode semiconductor laser subjected to optical feedback, which can be designed for on-chip implementation. However, the feedback line length remains to be a limiting factor in the miniaturization process. We propose to target more than one mode in a semiconductor lasers. In this way, we believe that it would be possible to distribute the computational power over several modes. Also, having more optical modes addressable will allow for a larger variability and parameter space both at the input and output layers of the reservoir computer. The complex interactions between either optical mode and optical mode or optical mode and carrier densities introduce new dynamical features, as well as increase the available nonlinearity in the system. We envision multiple mode reservoir computing as the next crucial step in optical reservoir computing evolution.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Krishan Harkhoe and Guy Van der Sande "Dual-mode semiconductor lasers in reservoir computing", Proc. SPIE 10689, Neuro-inspired Photonic Computing, 106890B (21 May 2018); https://doi.org/10.1117/12.2307328
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Semiconductor lasers

Neural networks

Brain

Data processing

Artificial neural networks

Computing systems

Energy efficiency

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