2018
DOI: 10.1364/oe.26.010211
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Prediction performance of reservoir computing system based on a semiconductor laser subject to double optical feedback and optical injection

Abstract: A reservoir computing (RC) system based on a semiconductor laser (SL) with double optical feedback and optical injection is proposed, and the prediction performance of such a system is numerically investigated via Santa Fe Time-Series Prediction task. The simulation results indicate that the RC system can yield a good prediction performance. Through optimizing some relevant operating parameters, ultra-fast information processing rates up to Gb/s level can be realized for the prediction error is below 3%.

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Cited by 95 publications
(35 citation statements)
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“…4. They clearly indicate that the NMSE and the SER dramatically increase near ω 0 T 1 as previously reported for conventional semiconductor lasers [11,12]. We conclude that both the relatively low values of the carrier lifetimes and the absence of an injected signal from a master laser contribute to the good performances of our QCL system.…”
supporting
confidence: 85%
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“…4. They clearly indicate that the NMSE and the SER dramatically increase near ω 0 T 1 as previously reported for conventional semiconductor lasers [11,12]. We conclude that both the relatively low values of the carrier lifetimes and the absence of an injected signal from a master laser contribute to the good performances of our QCL system.…”
supporting
confidence: 85%
“…We now contrast these results to the case of a QCL that is subject to both injection and feedback as previously done for edge-emitting or ring lasers [4][5][6][10][11][12]27]. The results are shown by the square symbols in Fig.…”
mentioning
confidence: 99%
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“…The effects of detuning of the frequency between an injection laser and the reservoir laser as well as the locking of the laser state were studied for a chaotic time series prediction task. Moreover, very recently a system with two optical feedback loops was studied numerically for a time series prediction task with an information processing rate of 1 GB/s (Hou et al, 2018). Performance was improved over a single loop configuration owing to the rich dynamics.…”
Section: Optical Feedback In a Laser Cavitymentioning
confidence: 99%