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Order statistics and random matrix theory of multicarrier continuous-variable quantum key distribution

机译:多载波连续变量量子密钥分配的阶统计和随机矩阵理论

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In a multicarrier continuous-variable quantum key distribution (CVQKD) protocol, the information is granulated into Gaussian subcarrier CVs and the physical Gaussian link is divided into Gaussian sub-channels. Here, we propose a combined mathematical framework of order statistics and random matrix theory for multicarrier continuous-variable quantum key distribution. The analysis covers the study of the distribution of the sub-channel transmittance coefficients in the presence of a Gaussian noise and the utilization of the moment generation function (MGF) in the error analysis. We reveal the mathematical formalism of sub-channel selection and formulation of the transmittance coefficients and show a reduced complexity progressive sub-channel scanning method. We define a framework to evaluate the statistical properties of the information flowing processes in multicarrier CVQKD protocols. Using random matrix theory, we express the achievable secret key rates and study the efficiency of the adaptive multicarrier quadrature division-multiuser quadrature allocation (AMQD-MQA) multiple-access multicarrier CVQKD. The proposed combined framework is particularly convenient for the characterization of the physical processes of experimental multicarrier CVQKD.
机译:在多载波连续可变量子密钥分配(CVQKD)协议中,信息被细化为高斯子载波CV,物理高斯链路被划分为高斯子信道。在此,我们提出了用于多载波连续变量量子密钥分配的阶跃统计和随机矩阵理论的组合数学框架。该分析涵盖了在存在高斯噪声的情况下子通道透射系数的分布以及在误差分析中利用矩生成函数(MGF)的研究。我们揭示了子信道选择和透射系数的公式化的数学形式,并展示了降低复杂度的渐进子信道扫描方法。我们定义了一个框架来评估多载波CVQKD协议中信息流过程的统计属性。使用随机矩阵理论,我们表达了可以达到的秘密密钥率,并研究了自适应多载波正交除法多用户正交分配(AMQD-MQA)多址多载波CVQKD的效率。所提出的组合框架对于表征实验多载波CVQKD的物理过程特别方便。

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