A Continuous Variable Quantum Key Distribution Method Based on Gaussian Dense Modulation
A quantum key distribution and Gaussian distribution technology, applied in the field of quantum communication, can solve the problems affecting the performance of error correction and the insufficient accuracy of signal-to-noise ratio estimation results, etc.
Active Publication Date: 2021-08-13
UNIV OF SCI & TECH OF CHINA
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Problems solved by technology
In order to estimate the signal-to-noise ratio, it is necessary to consume a certain amount of original key for estimation, or to make a rough estimate through additional data such as synchronization and phase compensation data; however, the amount of data for synchronization and phase compensation is relative to the original key Smaller, the accuracy of the signal-to-noise ratio estimation result is insufficient, thus affecting the performance of error correction
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[0026] An embodiment of the present invention provides a continuous variable quantum key distribution method based on Gaussian dense modulation, which mainly includes Gaussian dense modulation steps, coherent state measurement steps, signal-to-noise ratio estimation steps, error correction steps, and coding rate estimation steps executed in sequence steps and key generation steps. The preferred implementation of each step is as follows:
[0027] 1. Gaussian dense modulation step.
[0028] In the Gaussian dense modulation step, the sender generates the first set of two-dimensional Gaussian distributed random numbers X 1 (i) and the random number X of the second group of two-dimensional Gaussian distribution 2 (i), and obtain the random number X(i) of the third group of two-dimensional Gaussian distribution based on the first and second group of random numbers; wherein, the random number of the first group of two-dimensional Gaussian distribution and are independent and ...
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The invention discloses a continuous variable quantum key distribution method based on Gaussian dense modulation. The method combines the double Gaussian modulation protocol and the characteristics of parameter estimation after error correction, breaks the respective limitations, and combines two Gaussian modulation Simplified for Gaussian dense modulation, the optimal coding rate considering the effect of finite code length is obtained. The method can be divided into Gaussian dense modulation step, coherent state measurement step, signal-to-noise ratio estimation step, error correction step, coding rate estimation step and key generation step. Among them, in Gaussian dense modulation, two sets of independent and identically distributed random numbers are extracted based on a two-dimensional Gaussian distribution function, and these two sets of random numbers are used to generate a third set of random numbers for modulating the coherent state. In addition, one of the two random numbers is used to estimate the signal-to-noise ratio, and then error correction is performed based on the estimated signal-to-noise ratio, and a second parameter estimation is performed after error correction to obtain coding rate information.
Description
technical field [0001] The invention relates to the field of quantum communication, in particular to a continuous variable quantum key distribution method based on Gaussian dense modulation. Background technique [0002] In the traditional continuous variable quantum key distribution system, the coherent state is generally modulated by Gaussian, because the security of this modulation method has been well proved. Based on the security of this modulation method, some dual modulation protocols have also been proposed, which can make better use of the characteristics of continuous variables in practical situations. For example, the combination of Gaussian modulation and discrete modulation can realize the simultaneous transmission of quantum keys and classical information. For another example, in the double Gaussian modulation protocol, two Gaussian modulations can be performed on the coherent state, the information of one Gaussian modulation is used to estimate the channel pa...
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IPC IPC(8): H04L9/08H04L1/00
CPCH04L1/0045H04L9/0852H04L9/0869H04L9/0875
Inventor 邹密陈腾云潘建伟
Owner UNIV OF SCI & TECH OF CHINA