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Reducing the phase sensitivity of laser-based optical reservoir computing systems.

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    Optical reservoir computing using lasers is fast but sensitive to feedback phase. A new readout design mitigates this phase sensitivity, improving system performance and reliability for complex tasks.

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    Area of Science:

    • Optics
    • Computer Science
    • Physics

    Background:

    • Optical reservoir computing offers high-speed parallel processing.
    • Semiconductor lasers with optical feedback/injection are key components.
    • Controlling feedback/injection phase is a significant challenge.

    Purpose of the Study:

    • Investigate the impact of feedback/injection phases on laser-based reservoir computing.
    • Develop a novel readout layer to reduce phase sensitivity.
    • Enhance the robustness of optical reservoir computing systems.

    Main Methods:

    • Extensive numerical simulations of laser-based reservoir computing.
    • Analysis of performance variations with feedback/injection phase changes.
    • Design and testing of an optimized readout layer using coherent signal combination.

    Main Results:

    • Feedback/injection phase variations significantly degrade reservoir computing performance.
    • The new readout layer design demonstrates reduced sensitivity to phase changes for certain tasks.
    • Optimizing readout weights from a coherent combination of signals improves robustness.

    Conclusions:

    • The phase of optical feedback/injection critically affects laser-based reservoir computing.
    • A novel readout layer design offers a promising solution to mitigate phase sensitivity.
    • This research advances the practical implementation of robust optical reservoir computing systems.