Article (Scientific journals)
QKD parameter estimation by two-universal hashing leads to faster convergence to the asymptotic rate
Ostrev, Dimiter
2021In Quantum
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Keywords :
Quantum key distribution; Parameter estimation; Two-universal hashing; Convergence of finite to asymptotic rate
Abstract :
[en] This paper proposes and proves security of a QKD protocol which uses two-universal hashing instead of random sampling to estimate the number of bit flip and phase flip errors. This protocol dramatically outperforms previous QKD protocols for small block sizes. More generally, for the two-universal hashing QKD protocol, the difference between asymptotic and finite key rate decreases with the number $n$ of qubits as $cn^{-1}$, where $c$ depends on the security parameter. For comparison, the same difference decreases no faster than $c'n^{-1/3}$ for an optimized protocol that uses random sampling and has the same asymptotic rate, where $c'$ depends on the security parameter and the error rate.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Applied Security and Information Assurance Group (APSIA)
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Computer science
Author, co-author :
Ostrev, Dimiter ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > APSIA
External co-authors :
no
Language :
English
Title :
QKD parameter estimation by two-universal hashing leads to faster convergence to the asymptotic rate
Publication date :
14 September 2021
Journal title :
Quantum
ISSN :
2521-327X
Publisher :
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, Austria
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
Computational Sciences
FnR Project :
FNR11689058 - Quantum Communication With Deniability, 2017 (01/07/2018-30/06/2021) - Peter Y. A. Ryan
Name of the research project :
FNR CORE project Q-CoDe (CORE17/IS/11689058)
Funders :
FNR - Fonds National de la Recherche [LU]
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