Abstract
In the satellite-ground quantum key distribution network for electric IoT, the transmitted data may have errors caused by the external environment and equipment. In order to ensure the correctness and consistency of the transmitted data, we propose a data reconciliation model based on quantum low density parity check (QLDPC) code for satellite-ground quantum key distribution network. We perform the check operator of QLDPC on the obtained raw keys, and use belief propagation algorithm and ordered statistics decoding technology to implement error correction. Compared with MET-LDPC and Turbo code, our model based on QLDPC has higher error correction efficiency with the increase of bit error rate.
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The authors would like to thank the anonymous reviewers and editor for their comments that improved the quality of this paper. This work is support by Scientific Project of Xinjiang Electric Power Co., Ltd. of SGCC under Grant No. SGXJXT00JFJS2000097.
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Zhou, W. et al. (2022). A Data Reconciliation Model Based on QLDPC for Satellite-Ground Quantum Key Distribution Network. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_22
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