Asymmetric Adaptive LDPC-Based Information Reconciliation for Industrial Quantum Key Distribution.

Autor: Borisov N; Laboratory of Quantum Information Technologies, National University of Science and Technology 'MISIS', Moscow 119049, Russia., Petrov I; Laboratory of Quantum Information Technologies, National University of Science and Technology 'MISIS', Moscow 119049, Russia., Tayduganov A; Laboratory of Quantum Information Technologies, National University of Science and Technology 'MISIS', Moscow 119049, Russia.
Jazyk: angličtina
Zdroj: Entropy (Basel, Switzerland) [Entropy (Basel)] 2022 Dec 23; Vol. 25 (1). Date of Electronic Publication: 2022 Dec 23.
DOI: 10.3390/e25010031
Abstrakt: We develop a new approach for asymmetric LDPC-based information reconciliation in order to adapt to the current channel state and achieve better performance and scalability in practical resource-constrained QKD systems. The new scheme combines the advantages of LDPC codes, a priori error rate estimation, rate-adaptive and blind information reconciliation techniques. We compare the performance of several asymmetric and symmetric error correction schemes using a real industrial QKD setup. The proposed asymmetric algorithm achieves significantly higher throughput, providing a secret key rate that is close to the symmetric one in a wide range of error rates. Thus, our approach is found to be particularly efficient for applications with high key rates, limited classical channel capacity and asymmetric computational resource allocation.
Databáze: MEDLINE
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