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Fast photonic information processing using semiconductor lasers with delayed optical feedback: role of phase

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    Semiconductor lasers with delayed optical feedback can solve complex computational tasks. Utilizing the laser

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    Area of Science:

    • Optoelectronics
    • Computational Neuroscience
    • Nonlinear Dynamics

    Background:

    • Semiconductor lasers with delayed optical feedback show promise for complex computations.
    • Reservoir computing, a neuro-inspired scheme, leverages transient laser responses for data processing.
    • Previous research was limited by the semiconductor laser's relaxation oscillation frequency.

    Purpose of the Study:

    • To numerically demonstrate higher processing speeds in semiconductor laser reservoir computing by utilizing phase dynamics.
    • To investigate the impact of feedback configurations and pump current levels on computational performance.
    • To assess the feasibility of on-chip implementations due to shorter external cavity lengths.

    Main Methods:

    • Numerical simulation of a semiconductor laser subject to delayed optical feedback.
    • Implementation of a reservoir computing model based on optical data injection.
    • Benchmarking on a chaotic time-series prediction task with varying feedback configurations.
    • Analysis of phase dynamics and system performance across different pump current levels.

    Main Results:

    • Significantly higher processing speeds (0.25 GSamples/s) are achievable by exploiting the laser's phase response, surpassing limitations of relaxation oscillation frequency.
    • A prediction error below 4% was obtained for a chaotic time-series prediction task.
    • The study provides insights into phase dynamics, clarifying performance at various pump current levels, including below the lasing threshold.
    • Good prediction performance was maintained at fast processing speeds even with realistic spontaneous emission and readout noise levels.

    Conclusions:

    • Exploiting the phase response of semiconductor lasers in delayed feedback systems enables significantly faster reservoir computing.
    • This approach facilitates shorter external cavity lengths, paving the way for compact, on-chip computational systems.
    • The findings offer a deeper understanding of laser dynamics under optical feedback for advanced computing applications.