Abstract
In this paper, we discuss the problem of QKD iterative information reconciliation based on LDPC codes. The aim is to correct high error rates in longer distances or in the condition of noisier environments. We use the methods of data reordering, data grouping, bit filling and error groups iterative reconciliation to improve the reconciliation capability and enhance reconciliation data security, and it can also reduce the impact of burst errors and retain more useful raw data. The simulation experiments have shown that the error-correcting ability of the iterative information reconciliation scheme proposed in this paper is beyond the results of traditional one-way scheme.
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