Title
Rate-adaptive reconciliation and its estimator for quantum bit error rate
Abstract
The purpose of reconciliation, one of classical aspects of quantum key distribution (QKD) protocol, is to mitigate errors after the distribution of quantum information over a quantum channel. In this paper, a rate-adaptive method is proposed by means of a channel coding scheme where specific low-density parity-check (LDPC) codes are adapted in the Slepian-Wolf coding system. Puncturing and shortening techniques are adopted to optimize their coding rates with all possible cases of error in QKD. This successful method utilizes the knowledge of the quantum bit error rate (QBER) based on the maximum-likelihood estimator with respect to the syndrome information. Its benefit is that avoids wasting sample keys in the traditional channel estimation and thus increases the size of the final secret key. Evidently, simulation results confirm an improvement in the reconciliation efficiency with minimal interaction that suitable for high QKD throughput applications.
Year
DOI
Venue
2014
10.1109/ISCIT.2014.7011930
ISCIT
Keywords
Field
DocType
channel coding,channel estimation,error statistics,maximum likelihood estimation,parity check codes,quantum cryptography,ldpc codes,qkd protocol,slepian-wolf coding system,channel coding scheme,low-density parity-check codes,maximum-likelihood estimator,puncturing techniques,quantum bit error rate,quantum channel,quantum information,quantum key distribution,rate-adaptive reconciliation,reconciliation efficiency,shortening techniques,syndrome information,slepian-wolf coding,throughput,protocols,cryptography
Quantum key distribution,Forward error correction,Computer science,Low-density parity-check code,Algorithm,Communication channel,Theoretical computer science,Real-time computing,Quantum information,Quantum channel,Puncturing,Quantum capacity
Conference
Citations 
PageRank 
References 
1
0.37
12
Authors
13