1. Rate-adaptive reconciliation and its estimator for quantum bit error rate
- Author
-
Zheng-Fu Han, Ronnagorn Rattanatamma, Paramin Sangwongngam, Mo Li, Wasana Sanor, Patcharapong Treeviriyanupab, Nattapong Songneam, Tomeyot Sanevong Na Ayutaya, Chun-Mei Zhang, Keattisak Sripimanwat, Tharathorn Phromsa-ard, Wei Chen, and Chanvate Ingkavet
- Subjects
Theoretical computer science ,Estimator ,Data_CODINGANDINFORMATIONTHEORY ,Quantum capacity ,Quantum channel ,Quantum key distribution ,Puncturing ,Forward error correction ,Low-density parity-check code ,Quantum information ,Algorithm ,Computer Science::Information Theory ,Computer Science::Cryptography and Security ,Mathematics - 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.
- Published
- 2014
- Full Text
- View/download PDF