A Blind Parameter Estimation Method for Continuous Variable Quantum Key Distribution

Abstract

The present invention provides a blind parameter estimation method for continuous variable quantum key distribution, comprising steps: Step 1: channel preprocessing, dividing the quantum channel into several sub-channels in the time dimension, and obtaining the shot noise of each sub-channel; Step 2: Construction of the data matrix, according to the sub-channels divided in step 1, construct the receiving data matrix, channel matrix and noise matrix; Step 3: Blind parameter estimation, based on the data matrix constructed in step 2, through the blind parameter estimation of the receiving data matrix , to obtain the channel matrix and noise matrix; Step 4: Calculation of key rate, according to the parameters obtained in step 3, calculate the key rate of the system under the finite length effect. The invention is a method for the receiving party to complete parameter estimation according to the received data and effectively improve the system performance under the condition that the sending party does not need to transmit partial key data.

Description

technical field [0001] The present invention relates to the technical field of information security, in particular to a blind parameter estimation method for continuous variable quantum key distribution, especially a blind parameter estimation method designed based on Gaussian modulation coherent state continuous variable quantum key distribution. Background technique [0002] Continuous variable quantum key distribution is a technology different from traditional communication. It mainly uses the uncertainty principle and the quantum state non-cloning theorem to realize the unconditional security of communication. Because of its potential advantages of being compatible with existing optical communication technologies, fiber channel CVQKD has attracted many researchers to participate in the research. Free space CVQKD is an important part of building a global quantum key distribution network. In order to better integrate and develop it with fiber channel CVQKD, in recent years...

AI Technical Summary

Problems solved by technology

In the prior art, the sender transmits part of the original key information to the receiver. This process not only brings additional burden to the channel, but also the discarding of the key information used for parameter estimation naturally reduces the system key rate, so There is an imbalance between the system key rate and the parameter estimation accuracy

In addition, there is a certain correlation between the key information, which can easily cause information leakage and affect the security of the post-processing process of the system.

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