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Time-delayed reservoir computing based on an optically pumped spin VCSEL for high-speed processing

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Abstract

We report on the first numerical implementation of photonic reservoir computing (RC) based on an optically pumped spin vertical-cavity surface-emitting laser (spin VCSEL) with optical feedback and injection. The proposed RC aims at both fast, single task processing and parallel tasks processing, benefiting from feasible tunability and multiplexing of the left and right circularly polarized modes. We evaluate its prediction and classification abilities through two benchmarks, i.e., a Santa Fe time series prediction task and a waveform recognition task. In particular, both the influence of external and internal parameters on the prediction and classification performance is systematically analyzed. The numerical results show that the proposed RC based on a spin VCSEL has remarkable prediction and classification abilities over wider parameter ranges due to the feasible adjustment of the pump intensity and polarization as compared to conventional VCSELs. Most importantly, because of its intrinsic fast response, the spin VCSEL-based RC system is capable of enhancing the information processing rate by significantly reducing the allowable feedback delay time and virtual node interval, reaching 20 Gbps for single task processing and 10 Gbps for parallel tasks processing, respectively. Such a spin VCSEL-based RC system has a potential to achieve high-speed information processing and lower power consumption.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

Yigong Yang and Pei Zhou are co-first authors.This work is supported in part by the National Natural Science Foundation of China under Grants 62004135, and 62001317, in part by the Natural Science Research Project of Jiangsu Higher Education Institutions under Grant 20KJA416001, and 20KJB510011, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20200855, in part by Open Fund of IPOC (BUPT) under Grant IPOC2020-A012, in part by State Key Laboratory of Advanced Optical Communication Systems Networks, China under Grant 2021GZKF003, in part by the Startup Funding of Soochow University under Grant Q415900119.

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Authors and Affiliations

  1. School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Suzhou, 215006, China

    Yigong Yang, Pei Zhou & Nianqiang Li

  2. Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province & Key Lab of Modern Optical Technologies of Education Ministry of China, Soochow University, Suzhou, 215006, China

    Yigong Yang, Pei Zhou & Nianqiang Li

  3. Institute of Science and Technology for Opto-Electronic Information, Yantai University, Yantai, 264005, China

    Penghua Mu

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Yang, Y., Zhou, P., Mu, P. et al. Time-delayed reservoir computing based on an optically pumped spin VCSEL for high-speed processing. Nonlinear Dyn 107, 2619–2632 (2022). https://doi.org/10.1007/s11071-021-07140-5

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