Improving Parameter Estimation of Entropic Uncertainty Relation in Continuous-Variable Quantum Key Distribution
Year: 2019
Type: article
Abstract: The entropic uncertainty relation (EUR) is of significant importance in the security proof of continuous-variable quantum key distribution under coherent attacks. The parameter estimation in the EUR method contains the estimation of the covariance matrix (CM), as well as the max-entropy. The discussions in previous works have not involved the effect of finite-size on estimating the CM, which will further affect the estimation of leakage information. In this work, we address this issue by adapting the parameter estimation technique to the EUR analysis method under composable security frameworks. We also use the double-data modulation method to improve the parameter estimation step, where all the states can be exploited for both parameter estimation and key generation; thus, the statistical fluctuation of estimating the max-entropy disappears. The result shows that the adapted method can effectively estimate parameters in EUR analysis. Moreover, the double-data modulation method can, to a large extent, save the key consumption, which further improves the performance in practical implementations of the EUR.
Source: Entropy
DOI: 10.3390/e21070652
Institutions: Peking University, State Key Laboratory of Advanced Optical Communication Systems and Networks, State Key Laboratory of Advanced Optical Communication Systems and Networks, Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,621
OpenAlex ID: W2955725909