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Enhanced photonic reservoir computing using an optically injected VCSEL with random polarized optical feedback.

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    We developed a photonic time-delay reservoir computing system using a VCSEL laser. This system shows improved parallel processing, especially with parallel polarized feedback, for tasks like time-series prediction.

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    Area of Science:

    • Optoelectronics
    • Nonlinear Dynamics
    • Machine Learning Hardware

    Background:

    • Reservoir computing offers a novel approach to machine learning by utilizing complex dynamical systems.
    • Photonic implementations, particularly those based on vertical-cavity surface-emitting lasers (VCSELs), are promising for high-speed computation.
    • Enhancing parallel task processing capabilities in these systems remains a key research challenge.

    Purpose of the Study:

    • To propose and numerically demonstrate a photonic time-delay reservoir computing (TDRC) system.
    • To investigate the impact of different optical feedback polarization states on parallel task processing performance.
    • To analyze the influence of key system parameters on the TDRC's computational capabilities.

    Main Methods:

    • A VCSEL subjected to optical injection and random distributed optical feedback was employed as the reservoir.
    • Two distinct random feedback structures were implemented: orthogonally polarized optical feedback (OPOF) and parallelly polarized optical feedback (PPOF).
    • The system's performance was evaluated using benchmark tasks: chaotic time-series prediction and waveform recognition.

    Main Results:

    • The proposed TDRC system demonstrated enhanced parallel task processing, particularly with the PPOF structure, due to increased nonlinearity from random feedback.
    • The OPOF structure showed potential performance deterioration compared to PPOF.
    • The effects of injection strength, feedback strength, pump current, and virtual node count on TDRC performance were systematically analyzed.

    Conclusions:

    • Random distributed optical feedback in a VCSEL-based TDRC significantly enhances parallel task processing capabilities.
    • The polarization state of optical feedback critically influences system performance, with PPOF outperforming OPOF.
    • This research provides a pathway for improving parallel computation in VCSEL-based TDRC systems through polarization multiplexing.