Abstract
In this paper, a neuromorphic reservoir computing (RC) system with enhanced memory capacity (MC) based on a vertical-cavity surface-emitting laser (VCSEL) subject to double optical feedbacks (DOF) is proposed and investigated numerically. The aim of this study is to explore the MC of the proposed system. For the purpose of comparison, the MC of the VCSEL-based RC system with single optical feedback (SOF) is also taken into account. It is found that, compared with the VCSEL-based RC system subject to SOF, enhanced MC can be obtained for the VCSEL-based RC system with DOF. Besides, the effects of feedback strength, injected strength, frequency detuning as well as injection current on the MC of the VCSEL-based RC system with DOF are considered. Moreover, the influence of feedback delays is also carefully examined. Thus, such proposed VCSEL-based RC system with DOF provides a prospect for the further development of the neuromorphic photonic system based on RC.
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This work was supported in part by National Key Research and Development Program of China (Grant No. 2018YFB2200500) and National Natural Science Foundation of China (Grant Nos. 61974177, 61674119).
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Guo, X., Xiang, S., Zhang, Y. et al. Enhanced memory capacity of a neuromorphic reservoir computing system based on a VCSEL with double optical feedbacks. Sci. China Inf. Sci. 63, 160407 (2020). https://doi.org/10.1007/s11432-020-2862-7
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DOI: https://doi.org/10.1007/s11432-020-2862-7