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中尺度沙尘暴是美国内华达州、我国北部及中东国家等地沙尘天气的常见形式. 为了研究中尺度沙尘暴对量子卫星通信信道的影响, 首先分析了沙尘暴的物理特性, 根据中尺度沙尘暴的扩散模型, 提出了中尺度沙尘特性与量子纠缠度的关系; 然后仿真了沙尘特性对量子卫星信道参数的影响. 结果表明, 如果沙尘扩散时间为12 h, 中尺度沙尘粒子半径分别为1和25μm, 则量子卫星信道的纠缠度依次为0.6和0.4, 信道的利用率分别为0.9和0.8, 信道容量分别为0.95和0.8. 由此可见, 量子信道的各种参数与沙尘暴的特性密切相关. 因此, 为了提高量子卫星通信的可靠性, 应根据沙尘灾变程度, 自适应调整卫星信道的各种参数.Mesoscale sandstorm is a common form of dust weather in Nevada in the US, the northern part in China, and the Middle East countries in the Asia. To investigate the influence of mesoscale sandstorm on the quantum satellite communication channels, the physical characteristics of the dust storms are analyzed first. According to the diffusion model of mesoscale storms, the relationship between the proposed scale dust features and the degree of quantum entanglement is established then. The effect of dust on properties of the quantum satellite channel is simulated finally. The results show that if the diffusion time for the dust is 12 hours, the dust particle radii are 1 and 25 μm, the entanglement degrees of quantum satellite channels are 0.6 and 0.4, the utilization rates of quantum satellite channels are 0.9 and 0.8, the capacities of quantum satellite channels are 0.95 and 0.8. The characteristic parameters of the quantum channels are closely related to sandstorms. Therefore, in order to improve the reliability of quantum satellite communications, the parameters of quantum satellite channels should be adjusted adaptively.
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Keywords:
- quantum communication /
- mesoscale sandstorms /
- quantum entanglement
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[2] Kuzmich A, Bowen W P, Boozer A D, Chou C W, Duan L M, Kimble H J 2003 Nature 423 731
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[19] Yin H, Han Y 2013 Quantum Communication Theory and Technology (Beijing: Publishing House of Electronics Industry) p83 (in Chinese) [尹浩, 韩阳 2013 量子通信原理与技术 (北京: 电子工业出版社) 第83页]
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[1] Zhao Z, Chen Y A, Zhang A N, Yang T, Briegel H J, Pan J W 2004 Nature 430 54
[2] Kuzmich A, Bowen W P, Boozer A D, Chou C W, Duan L M, Kimble H J 2003 Nature 423 731
[3] Mandel O, Greiner M, Widera A, Rom T, Theodor W, Bloch I 2003 Nature 425 937
[4] Xue L, Nie M, Liu X H 2013 Acta Phys. Sin. 62 170305 (in Chinese) [薛乐, 聂敏, 刘晓慧 2013 62 170305]
[5] Liao X P, Fang M F, Fang J S, Zhu Q Q 2014 Chin. Phys. B 23 020304
[6] Yu X T, Zhang Z C, Xu J 2014 Chin. Phys. B 23 010303
[7] Chang Y, Xu C X, Zhang S B, Yan L L 2014 Chin. Phys. B 23 010305
[8] Nie M, Zhang L, Liu X H 2013 Acta Phys. Sin. 62 230303 (in Chinese) [聂敏, 张琳, 刘晓慧 2013 62 230303]
[9] Zhao J H, Zhang Q 2010 Acta Phys. Sin. 59 8954 (in Chinese) [赵建华, 张强 2010 59 8954]
[10] Zhang Z S, Dong Z G, Zhao A G 2008 Chin. Sci. Bull. 53 1953 (in Chinese) [张正偲, 董治国, 赵爱国 2008 科学通报 53 1953]
[11] Wang P X, Sun L D, Yue P, Niu S J 2007 J. Desert Res. 27 1077 (in Chinese) [王鹏祥, 孙兰东, 岳平, 牛生杰 2007 中国沙漠 27 1077]
[12] Yan Y, Pei C X, Han B B, Zhao N 2008 Chin. J. Radio Sci. 23 834 (in Chinese) [闫毅, 裴昌幸, 韩宝彬, 赵楠 2008 电波科学学报 23 834]
[13] Wang Y T, Zhao Y H, Yang X X, Zhao Z G, Xue Y L, Gao Q X, Ren Z H 2002 J. Safety Environ. 2 18 (in Chinese) [王耀庭, 赵燕华, 杨新兴, 张志刚, 薛玉兰, 高庆先, 任阵海 2002 安全与环境学报 2 18]
[14] Liu C T, Cheng L S 1997 Acta Meterorologica Sin. 55 726 (in Chinese) [刘春涛，程麟生 1997 气象学报 55 726]
[15] Anthes R A, L Y H, Guo X R 1991 Meteorol. Sci. Technol. 1 40 (in Chinese) [Anthes R A, 吕越华, 郭肖容 1991 气象科技 1 40]
[16] Zhang Y D 2010 Quantum Mechanics (Beijing: Science Press) p343 (in Chinese) [张永德 2010 量子力学 (北京: 科学出版社) 第343页]
[17] Zhang Y D 2010 Advanced Quantum Mechanics (Beijing: Science Press) p24 (in Chinese) [张永德 2010 高等量子力学 (北京: 科学出版社) 第24页]
[18] Li J D, Sheng M, Li H Y 2011 Communications Network Infrastructure (Vol. 2) (Beijing: Higher Education Press) pp94-101 (in Chinese) [李建东, 盛敏, 李红艳 2011 通信网络基础 (第二版) (北京: 高等教育出版社) 第94–101页]
[19] Yin H, Han Y 2013 Quantum Communication Theory and Technology (Beijing: Publishing House of Electronics Industry) p83 (in Chinese) [尹浩, 韩阳 2013 量子通信原理与技术 (北京: 电子工业出版社) 第83页]
[20] Yan Y, Pei C X, Shi R J, Han B B, Zhang L 2007 J. Xidian Univ. (Nature Science Edition) 34 708 (in Chinese) [闫毅, 裴昌幸, 师瑞娟, 韩宝彬, 张磊 2007 西安电子科技大学学报(自然科学版) 34 708]
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