Presentation + Paper
5 March 2021 Wavelength division multiplexing reservoir computer using quantum dot lasers with delayed optical feedback
Author Affiliations +
Abstract
Time-delay reservoir computer (RC) based on semiconductor lasers provides a simple hardware implementation of the recurrent neural network. However, the data processing speed is limited by the length of the feedback loop. This work demonstrates a parallel RC scheme based on the wavelength division multiplexing (WDM) technique. This scheme is implemented on a Fabry-Perot quantum dot laser with multimode emission. It is shown that the four-channel WDM RC exhibits a better performance over the single-channel one, with the same number of virtual neurons. Meanwhile, the RC is accelerated by four times, owing to the shorter delay time. In addition, we show that the cross-gain saturation effect between the multimodes plays a crucial role on the RC performance.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jia-Yan Tang, Xuming He, and Cheng Wang "Wavelength division multiplexing reservoir computer using quantum dot lasers with delayed optical feedback", Proc. SPIE 11680, Physics and Simulation of Optoelectronic Devices XXIX, 116800M (5 March 2021); https://doi.org/10.1117/12.2577145
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KEYWORDS
Wavelength division multiplexing

Laser optics

Neurons

Quantum dot lasers

Multiplexing

Neural networks

Performance modeling

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