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研究了K分布强湍流下自由空间测量设备无关量子密钥分发协议模型, 采用阈值后选择方法来减少大气湍流对密钥生成率的影响, 对比分析了使用阈值后选择方法前后协议的密钥率和湍流强度之间的关系. 仿真结果表明, 使用阈值后选择方法可以有效地提高协议的密钥生成率, 尤其是在高损耗和强湍流区域, 而且其最佳阈值与湍流强度、信道平均损耗有关, 对实际搭建性能较好的自由空间测量设备无关量子密钥分发协议系统具有一定的参考价值.
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关键词:
- 强湍流 /
- K分布 /
- 测量设备无关量子分发协议 /
- 自由空间
Free-space quantum key distribution (QKD) allows two distant parties to share secret keys with information-theoretic security, which can pave the way for satellite-ground quantum communication to set up a global network for sharing secret message. However, free-space channels in the presence of atmospheric turbulence are affected by losses and fluctuating transmissivity which further affect the quantum bit error rate and the secure key rate. To implement free-space QKD, it is indispensable to study the effect of atmospheric turbulence. Different models have been used to describe the probability distribution for channel transmission coefficient under atmospheric turbulence, including the log-normal distribution and K distribution. In this paper, we focus on free space measurement-device-independent quantum key distribution (MDI-QKD) under K-distributed strong atmospheric turbulence. The MDI-QKD can close all loopholes on detection and achieve a similar performance to QKD, relying on time-reversed version of entanglement-based QKD protocol. Threshold post-selection method is adopted to restrain detrimental effects of the atmospheric turbulence, which is based on the selection of the intervals with higher channel transmissivity. By combining the general MDI-QKD system model with this method, we present a framework for the optimal choice of threshold. Our simulation result shows that the optimal threshold is dependent on the turbulence intensity and expected channel loss. Furthermore, compared with the original MDI-QKD protocols, the proposed protocol with threshold post-selection method can acquire a considerable better performance in key rate, especially in regions of high turbulence and high loss. What is more, this is instructive to the building of a practical free-space MDI-QKD system with better performance.-
Keywords:
- strong atmospheric turbulence /
- K-distributed model /
- measurement-device-independent quantum key distribution /
- free space
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图 1 自由空间测量设备无关量子密钥分发模型示意图(BS, 50 : 50光分束器; PBS, 偏振光分束器; D1H, D2H, D1V, D2V, 单光子探测器; U1 (U2), Alice和Bob的大气信道)
Fig. 1. Free space MDI-QKD diagram. BS, 50 : 50 beam splitter; PBS, polarized beam splitter; D1H, D2H, D1V, D2V, single-photon detector; U1 (U2), Alice and Bob’s atmospheric channel.
图 2
$\alpha $ 与闪烁系数$\sigma _{\rm{I}}^{\rm{2}}$ 的关系Fig. 2. Relationship between
$\alpha $ and scintillation coefficient$\sigma _{\rm{I}}^2$ .
图 3 最佳阈值
$\eta _{\rm{T}}^{{\rm{opt}}}$ 与信道参数$\alpha $ 、平均传输率${\eta _0}$ 的关系Fig. 3. Relationship of optimal threshold value
$\eta _{\rm{T}}^{{\rm{opt}}}$ to channel parameter$\alpha $ and average transmission rate${\eta _0}$ .
图 4 强湍流下MDI-QKD密钥率与阈值、信道参数的关系
Fig. 4. Relationship of key rate of MDI-QKD under strong turbulence to threshold and channel parameters.
图 5 强湍流下MDI-QKD密钥率与信道损耗间的关系
Fig. 5. Relationship between key rate of MDI-QKD under strong turbulence and channel loss.
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[1] Shannon C E 1949 Bell Syst. Tech. J. 28 656
Google Scholar
[2] Shor P W, Preskill J 2000 Phys. Rev. Lett. 85 441
Google Scholar
[3] Gottesman D, Lo H K, Lütkenhaus N, Preskill J 2004 Quantum Inf. Comput. 4 325
[4] Xu G, Chen X B, Dou Z, Yang Y X, Li Z P 2015 Quantum Inf. Process. 14 2959
Google Scholar
[5] 东晨, 赵尚弘, 赵卫虎, 石磊, 赵顾颢 2014 63 030302
Google Scholar
Dong C, Zhao S H, Zhao W H, Shi L, Zhao G H 2014 Acta Phys. Sin. 63 030302
Google Scholar
[6] 东晨, 赵尚弘, 董毅, 赵卫虎, 赵静 2014 63 170303
Google Scholar
Dong C, Zhao S H, Dong Y, Zhao W H, Zhao J 2014 Acta Phys. Sin. 63 170303
Google Scholar
[7] Chen X B, Tang X, Xu G, Dou Z, Chen Y L, Yang Y X 2018 Quantum Inf. Process. 17 225
Google Scholar
[8] Chen X B, Sun Y R, Xu G, Jia H Y, Qu Z G, Yang Y X 2017 Quantum Inf. Process. 16 244
Google Scholar
[9] Xu G, Chen X B, Li J, Wang C, Yang Y X, Li Z P 2015 Quantum Inf. Process. 14 4297
Google Scholar
[10] Chen X B, Wang Y L, Xu G, Yang Y X 2019 IEEE Access 7 13634
Google Scholar
[11] Yin H L, Chen T Y, Yu Z W, Liu H, You L X, Zhou Y H, Chen S J, Mao Y, Huang M Q, Zhang W J, Chen H, Li M J, Nolan D, Zhou F, Jiang X, Wang Z, Zhang Q, Wang X B, Pan J W 2016 Phys. Rev. Lett. 117 190501
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[12] Bedington R, Arrazola J M, Ling A 2017 EPJ Quantum Inf. 3 30
Google Scholar
[13] Buttler W T, Hughes R J, Lamoreaux S K, Morgan G L, Nordholt J E, Peterson C G 2000 Phys. Rev. Lett. 84 5652
Google Scholar
[14] Richard J H, Jane E N, Derek D, Charles G P 2002 New J. Phys. 4 43
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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Google Scholar
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[29] Erven C, Heim B, Meyerscott E, Bourgoin J P, Laflamme R, Weihs G, Jennewein T 2012 New J. Phys. 14 129401
[30] Wang W, Xu F, Lo H K 2018 Phys. Rev. A 97 32337
Google Scholar
[31] Lo H K, Curty M, Qi B 2012 Phys. Rev. Lett. 108 130503
Google Scholar
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Google Scholar
[33] Niu M, Cheng J, Holzman J F 2011 IEEE Trans. Commun. 59 664
Google Scholar
[34] Bourgoin J, Meyerscott E, Higgins B L, Helou B, Erven C, Hübel H, Kumar B, Hudson D, D'Souza I, Girard R, Laflamme R, Jennewein T 2014 New J. Phys. 16 069502
Google Scholar
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Google Scholar
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