Non-Gaussian reconciliation for continuous-variable quantum key distribution

• URL: http://arxiv.org/abs/2305.01963v1
• Date: Wed, 3 May 2023 08:24:26 GMT
• Title: Non-Gaussian reconciliation for continuous-variable quantum key distribution
• Authors: Xiangyu Wang, Menghao Xu, Yin Zhao, Ziyang Chen, Song Yu, Hong Guo
• Abstract summary: Non-Gaussian modulation can improve the performance of continuous-variable quantum key distribution (CV-QKD) In this paper, we propose a non-Gaussian reconciliation method to obtain identical keys from non-Gaussian data.
• Score: 9.367550299327807
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Non-Gaussian modulation can improve the performance of continuous-variable quantum key distribution (CV-QKD). For Gaussian modulated coherent state CV-QKD, photon subtraction can realize non-Gaussian modulation, which can be equivalently implemented by non-Gaussian postselection. However, non-Gaussian reconciliation has not been deeply researched, which is one of the key technologies in CV-QKD. In this paper, we propose a non-Gaussian reconciliation method to obtain identical keys from non-Gaussian data. Multidimensional reconciliation and multi-edge type low density parity check codes (MET-LDPC) are used in non-Gaussian reconciliation scheme, where the layered belief propagation decoding algorithm of MET-LDPC codes is used to reduce the decoding complexity. Furthermore, we compare the error correction performance of Gaussian data and non-Gaussian data. The results show that the error correction performance of non-Gaussian data is better than Gaussian data, where the frame error rate can be reduced by 50% for code rate 0.1 at SNR of 0.1554 and the average iteration number can be reduced by 25%.

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