Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Smart innovation, systems and technologies

A Bayesian based finite-size effect analysis of QKD

Xuan Wen, Qiong Li, Hongjuan Wang, Hui Yang, Hanliang Bai

Published Nov 22, 2016• 2 citations
Publisher
DOI
10.1007/978-3-319-50212-0_20

Related papers

Fluctuation Analysis of Decoy State QKD with Finite Data-Set Size

唐少杰, 焦荣珍

理论物理通讯：英文版•Jan 1, 2010•0 citations

Finite-key-size effect in a commercial plug-and-play QKD system

Poompong Chaiwongkhot, Shihan Sajeed, Lars Lydersen +1 more

Abstract A security evaluation against the finite-key-size effect was performed for a commercial plug-and-play quantum key distribution (QKD) system. We demonstrate the ability of an eavesdropper to force the system to distill key from a smaller length of sifted-key. We also derive a key-rate equation that is specific for this system. This equation provides bounds above the upper bound of secure key under finite-key-size analysis. From this equation and our experimental data, we show that the keys that have been distilled from the smaller sifted-key size fall above our bound. Thus, their security is not covered by finite-key-size analysis. Experimentally, we could consistently force the system to generate the key outside of the bound. We also test manufacturer’s software update. Although all the keys after the patch fall under our bound, their security cannot be guaranteed under this analysis. Our methodology can be used for security certification and standardization of QKD systems.

arXiv:1610.06876•Quantum Science and Technology•Aug 14, 2017•32 citations

Identifying Practical QKD Parameter Correlations Through NuQKD Simulation

Konstantinos Gkouliaras, Vasileios Theos, Stylianos Chatzidakis

Transactions of the American Nuclear Society•Jan 1, 2024•0 citations

Finite-key-size Effect in Asymmetric Twin-Field Quantum Key Distribution

Joo Youn Park, Jun Heo

Twin-Field(TF) quantum key distribution(QKD) is attracting attention due to the possibility of implementing long-range QKD. However, due to the finite-size effect, the secret key rate becomes relatively low. The statistical fluctuation analysis of the four-intensity decoy-state asymmetric TF-QKD system is considered in this study, and optimized parameters for the Gaussian approximation method are also presented.

International Conference on Information and Communication Technology Convergence (ICTC)•Oct 20, 2021•1 citation

New Way to Generating and Simulation QKD

Hasan Abbas Al-Mohammed, Elias E. Yaacoub

Lecture notes in networks and systems•Sep 9, 2021•3 citations

Bayesian finite-size scaling analysis

Kenji Harada

To determine the universality class of critical phenomena, we propose a method of statistical inference in the scaling analysis of critical phenomena. The method is based on Bayesian statistics, most specifically, the Gaussian process regression. It assumes only the smoothness of a scaling function, and it does not need a form. We demonstrate this method for the finite-size scaling analysis of the Ising models on square and triangular lattices. Near the critical point, the method is comparable in accuracy to the least-square method. In addition, it works well for data to which we cannot apply the least-square method with a polynomial of low degree. By comparing the data on triangular lattices with the scaling function inferred from the data on square lattices, we confirm the universality of the finite-size scaling function of the two-dimensional Ising model.

•Feb 21, 2011•0 citations
Abstract A security evaluation against the finite-key-size effect was performed for a commercial plug-and-play quantum key distribution (QKD) system. We demonstrate the ability of an eavesdropper to force the system to distill key from a smaller length of sifted-key. We also derive a key-rate equation that is specific for this system. This equation provides bounds above the upper bound of secure key under finite-key-size analysis. From this equation and our experimental data, we show that the keys that have been distilled from the smaller sifted-key size fall above our bound. Thus, their security is not covered by finite-key-size analysis. Experimentally, we could consistently force the system to generate the key outside of the bound. We also test manufacturer’s software update. Although all the keys after the patch fall under our bound, their security cannot be guaranteed under this analysis. Our methodology can be used for security certification and standardization of QKD systems.
To determine the universality class of critical phenomena, we propose a method of statistical inference in the scaling analysis of critical phenomena. The method is based on Bayesian statistics, most specifically, the Gaussian process regression. It assumes only the smoothness of a scaling function, and it does not need a form. We demonstrate this method for the finite-size scaling analysis of the Ising models on square and triangular lattices. Near the critical point, the method is comparable in accuracy to the least-square method. In addition, it works well for data to which we cannot apply the least-square method with a polynomial of low degree. By comparing the data on triangular lattices with the scaling function inferred from the data on square lattices, we confirm the universality of the finite-size scaling function of the two-dimensional Ising model.