Paramin Sangwongngam

Reconciliation, one of classical parts in QKD protocol, aims to mitigate errors due to the distribution of quantum keys over a quantum channel. In this work, a rate-adaptive reconciliation plays a significant role to improve the efficiency by the mean of channel coding schemes. Specifically, several LDPC codes based on puncturing and shortening are adapted to the technique of Slepian-Wolf coding for varying possible cases of error rates in QKD system. This method actually utilizes knowledge of error rate by the estimation of Maximum-Likelihood parameter with respect to the syndrome information (not Blind protocol). It is then beneficial to avoid the waste of a relevant part of sifted key in the traditional channel estimation process. From the simulation results, the proposed scheme provides improvement in the reconciliation efficiency that significantly impacts on the achievable secret key generation rate responding to the high throughput for QKD applications.