Appending Information Reconciliation for Quantum Key Distribution
Han Zhou, Bang-Ying Tang, Sichen Li, Wanrong Yu, Huan Chen, Huicun Yu, Bo Liu
Abstract
Information reconciliation (IR), which corrects the errors in the sifted keys, directly determines the secure key rate and the link distance of quantum key distribution (QKD) systems. In this paper, we propose an appending information reconciliation (AIR) scheme based on polar codes, which achieves high efficiency and ultralow failure probability simultaneously, by gradually disclosing the bit values of the polarized channels with high error probability. The experimental results show that the efficiency of the proposed AIR scheme is closer to the Shannon limit, compared with the state-of-the-art implemented polar-code-based IR schemes, with the overall failure probability around ${10}^{\ensuremath{-}8}$, especially when performed with smaller block sizes. Moreover, the efficiency of the proposed AIR scheme is 1.046, when the block size is 1 Gb and the quantum bit error rate of 0.02. Therefore, the proposed AIR scheme can further eradicate the performance gap between theory and implementation for QKD systems.