Suppression of Fading Noise in Satellite-Mediated Continuous-Variable Quantum Key Distribution via Clusterization

Zhiyue Zuo, Wenqi Peng, Hui Xian, Wenqi Jiang, Hao Luo, Sha Xiong () and Ying Guo
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Zhiyue Zuo: School of Automation, Central South University, Changsha 410083, China
Wenqi Peng: College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China
Hui Xian: School of Automation, Central South University, Changsha 410083, China
Wenqi Jiang: School of Automation, Central South University, Changsha 410083, China
Hao Luo: School of Automation, Central South University, Changsha 410083, China
Sha Xiong: School of Automation, Central South University, Changsha 410083, China
Ying Guo: School of Automation, Central South University, Changsha 410083, China

Mathematics, 2023, vol. 11, issue 16, 1-13

Abstract: The satellite-mediated continuous-variable quantum key distribution (CV-QKD) protocol, which relies on off-the-shelf telecommunication components, has the potential for a global quantum communication network with all-day operation. However, the transmittance fluctuation of satellite-mediated links leads to the arriving quantum state showing non-Gaussian property, introducing extra fading noise in security analysis and limiting the secret key rate of the protocol. Here, we consider the clusterization method for data post-processing to suppress the fading noise in both downlink and uplink scenarios, where the measurement data are divided into several clusters, and we perform security analysis separately. In particular, we set the optimal upper and lower bounds of each cluster in terms of the probability distribution of transmittance (PDT), while finding an optimal cluster number for the trade-off between fading noise and the composable finite-size effect. Numerical analysis shows that the proposed method can improve the composable finite-size rate when the fading noise is large enough, even with only two clusters. Moreover, a high-speed CV-QKD system with a higher frequency of signal preparation and detection can extend the proposed method to work in the case of lower fading noise.

Keywords: clusterization; continuous-variable quantum key distribution; fading noise; satellite (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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