Abstract:

Information reconciliation is a critical step in quantum key distribution (QKD), and current research focuses on LDPC based approaches. Constrained by the poor performance of the LDPC decoder, current LDPC based approaches are difficult to meet the performance and security requirements of high speed QKD systems with high quantum bit error rate. We therefore propose a novel adaptive dualcode parallel decoder mechanism, named ADCPM. In the ADCPM, a specially designed decision module makes the hard decision process and node computation checking process work in parallel. Experimental results on real platform show that the proposed ADCPM LDPC decoder is able to work with high QBER up to 10%, and its decoding rate is beyond 140Mbps. The ADCPM can meet the security and performance requirements of the high speed QKD systems with high quantum bit error rate.

Key words: QKD, information reconciliation, adaptable, LDPC decoder, dualcode parallelism