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FPGA-based adaptive control for phase stabilization in fiber-optic interferometers using correlated photons.

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    We developed an adaptive algorithm for stabilizing quantum communication systems. This method significantly improves phase stability and reduces noise, enhancing long-distance quantum communication performance.

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    Area of Science:

    • Quantum communication
    • Quantum optics
    • Photonics

    Background:

    • Phase noise limits stable operation in fiber-optic quantum communication.
    • Time-bin encoded photon pairs are crucial for robust quantum transmission.

    Purpose of the Study:

    • To implement an adaptive algorithm for real-time phase stabilization in quantum communication systems.
    • To mitigate the effects of phase noise in optical fiber transmission.

    Main Methods:

    • An adaptive perturbation-and-observe algorithm was implemented on a Field-Programmable Gate Array (FPGA) platform.
    • Real-time feedback control at 1 Hz was utilized, deriving the control signal from correlated photon pair coincidence counts.

    Main Results:

    • The adaptive approach reduced system rise time by 70% and coincidence noise by 30%.
    • Visibility improvements were sustained for over 600 seconds, demonstrating long-term stability.
    • The system achieved efficient phase stabilization in quantum and photonic systems.

    Conclusions:

    • The developed adaptive algorithm offers an efficient solution for long-term phase stabilization.
    • This method enhances the robustness and stability of quantum communication systems.
    • The FPGA-based real-time feedback system improves the performance of photonic systems against phase noise.