Efficient rate-adaptive reconciliation for continuous-variable quantum key distribution
Xiangyu Wang, Yi-Chen Zhang, Zhengyu Li, Bingjie Xu, Song Yu, Hong Guo

TL;DR
This paper introduces a rate-adaptive reconciliation protocol for continuous-variable quantum key distribution that dynamically adjusts code rates to maintain high efficiency across varying channel conditions, enhancing practical QKD system performance.
Contribution
The paper presents a novel rate-adaptive reconciliation protocol using multi-edge type LDPC codes with puncturing and shortening, improving efficiency over fixed-rate methods in CV-QKD.
Findings
Reconciliation efficiency remains above 93.5% across different SNRs.
The protocol adapts to time-varying channels effectively.
Potential for high-performance CV-QKD with a single code rate matrix.
Abstract
Information reconciliation protocol has a significant effect on the secret key rate and maximal transmission distance of continuous-variable quantum key distribution (CV-QKD) systems. We propose an efficient rate-adaptive reconciliation protocol suitable for practical CV-QKD systems with time-varying quantum channel. This protocol changes the code rate of multi-edge type low density parity check codes, by puncturing (increasing the code rate) and shortening (decreasing the code rate) techniques, to enlarge the correctable signal-to-noise ratios regime, thus improves the overall reconciliation efficiency comparing to the original fixed rate reconciliation protocol. We verify our rate-adaptive reconciliation protocol with three typical code rate, i.e., 0.1, 0.05 and 0.02, the reconciliation efficiency keep around 93.5%, 95.4% and 96.4% for different signal-to-noise ratios, which shows the…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata
