  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%.
