AI-driven free space quantum communications in the third telecom window

Sebastiano Cocchi; Alessandro Zavatta; Tommaso Occhipinti; Davide Bacco

doi:10.1117/12.3016984

18 June 2024 AI-driven free space quantum communications in the third telecom window

Sebastiano Cocchi, Alessandro Zavatta, Tommaso Occhipinti, Davide Bacco

Proceedings Volume 13017, Machine Learning in Photonics; 1301705 (2024) https://doi.org/10.1117/12.3016984
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

We propose a new feedback correction system driven by artificial intelligence (AI), in particular reinforcement learning (RL), able to learn from the turbulence pattern how to correct the distortions. Indeed, RL is utilized to solve difficult tasks in chaotic problems making predictions based on the environment responses. We apply this novel approach in a Quantum Key Distribution (QKD) free space horizontal link field-trial test within the metropolitan area of Florence operating the Quantum Communication in the third telecommunication window (1550nm) with time-bins states. We use the combination of a fast-steering mirror (FSM), a four-quadrant detector (QD), and a closed-loop to correct the turbulence-induced beam-wandering effect. Our closed-loop architecture is composed of a core Proportion-Integrative-Derivative (PID) controller and an auxiliary RL algorithm to find the optimal P, I, and D parameters. We demonstrate the robustness and effectiveness of using the RL approach to smooth the turbulence effects in communication.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sebastiano Cocchi, Alessandro Zavatta, Tommaso Occhipinti, and Davide Bacco "AI-driven free space quantum communications in the third telecom window", Proc. SPIE 13017, Machine Learning in Photonics, 1301705 (18 June 2024); https://doi.org/10.1117/12.3016984

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