Spatially Adaptive Detection for Satellite-based QKD under Atmospheric Turbulence Channel
Yaoxuan Yang, Ivi Afxenti, and Majid Safari

TL;DR
This paper introduces a spatially adaptive detection method for satellite-based quantum key distribution that uses detector arrays to mitigate atmospheric turbulence effects, enhancing security and performance.
Contribution
It proposes a threshold-based adaptive detection scheme utilizing detector arrays to reject noise and adapt to turbulence, improving QKD robustness.
Findings
The adaptive detection reduces quantum bit error rate (QBER).
The scheme improves secret key rate (SKR) under turbulence.
Performance gains vary with atmospheric conditions.
Abstract
Quantum key distribution (QKD) provides information-theoretic security and satellite-based quantum key distribution (SatQKD) has demonstrated the potential to extend this communication security to intercontinental scales. However, atmospheric turbulence induces significant distortion in the spatial distribution of received optical beams, while background noise remains approximately uniform across the detector plane. As a result, single-element qubit (quantum bit) detection can be frequently dominated by noise due to the random spatial pattern of the imaged wavefront, thereby degrading the system performance. To address this limitation, we propose to exploit the spatial degrees of freedom of single-photon detector arrays to reject the excessive noise while adapting to channel variations induced by turbulence. We develop a threshold-based selection method that only activates detector…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
