An LDPC error correction code rate self-adaptive method and system in discrete variable quantum key distribution

Abstract

The invention discloses an LDPC error correction code rate self-adaption method in discrete variable quantum key distribution. The method comprises the following steps of: establishing Shoring data pools at two ends of Alice and Bob: pre-storing a certain number of keys at the two ends of Alice and Bob as the Shoring data pools before performing key distribution on the DVQKD; Calculating a first expected f factor; Selecting an expected code rate R according to the expected f factor; Calculating the number of the Shorting data according to the expected code rate R; Alice selects data in the Shoring data pool, encodes the data and transmits the data; And Bob selects data in the Shoring data pool, corrects errors and confirms the errors. The invention also provides an LDPC error correction code rate adaptive system in discrete variable quantum key distribution. The method has the advantages that the Shorting data pools are established at the two ends of the Alice and the Bob respectively,transmission of the Shorting data on the public classical network is avoided, the leaked information amount can be reduced, and the data size transmitted by the network can be reduced.

Description

technical field [0001] The present invention relates to data processing technology, and more specifically relates to a method and system for error correction of processed data after discrete variable quantum key distribution. Background technique [0002] The existing DVQKD (Discrete Variable Quantum Key Distribution) adaptive code rate LDPC (Low Density Parity Check Code, Low Density Parity Check Code) error correction scheme is based on Puncturing (puncture) and Shortening (shortening) code rate automatic adapted to the program. Puncturing is to increase the code rate by reducing check nodes, which can be equivalent to using error correction data with a BER of 50%; Shortening is to reduce the code rate by reducing variable nodes, which can be equivalent to using error codes rate is 0% error corrected data. Based on the equivalent method, the existing scheme is to let Alice and Bob generate the same number of completely irrelevant true random numbers at the same time to f...

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Problems solved by technology

[0016] 1) In order to achieve the purpose of Shortening, the scheme introduced above needs to transmit the true random number sequence generated by Alice in the public classic channel. This part of the data exchange will leak additional information and increase the traffic of the network

[0017] 2) The scheme introduced above may lead to too many interactions due to the unreasonable selection of the initial expected f factor or the final f factor does not reach the optimal value

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