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Integrated photonic reservoir computing with an all-optical readout.

Chonghuai Ma, Joris Van Kerrebrouck, Hong Deng

    Optics Express
    |October 20, 2023
    PubMed
    Summary

    This study presents a fully-optical photonic reservoir computing chip with a straightforward readout system. It successfully performs real-time 3-bit header recognition and delayed XOR tasks at 20 Gbps.

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    Area of Science:

    • Photonics
    • Neuromorphic Computing
    • Integrated Optics

    Background:

    • Photonic reservoir computing leverages neural network principles for complex problem-solving.
    • Its key advantage lies in a simple readout system, enabling rapid training and robust hardware implementation.
    • This facilitates real-time processing with integrated photonic circuits.

    Purpose of the Study:

    • To develop a fully-optical, coherent photonic reservoir chip with an integrated optical readout system.
    • To demonstrate an effective weight update strategy compatible with integrated optical readout hardware.
    • To showcase the system's capability for real-time, high-speed data processing tasks.

    Main Methods:

    • Development of a coherent photonic reservoir chip.
    • Integration of a straightforward optical readout system.
    • Implementation of an online training scheme for weight updates.
    • Real-time execution of 3-bit header recognition and delayed XOR tasks.

    Main Results:

    • Successful demonstration of a fully-optical photonic reservoir computing system.
    • Achieved real-time processing of 3-bit header recognition and delayed XOR tasks at 20 Gbps.
    • Validated the effectiveness of the online training scheme with integrated optical readout.
    • Confirmed fabrication variation-insensitivity and robustness of the photonic hardware.

    Conclusions:

    • The developed photonic reservoir chip offers a powerful platform for real-time neuromorphic computing.
    • The integrated optical readout system simplifies training and enhances hardware robustness.
    • This approach enables high-speed, all-optical solutions for complex computational tasks.