Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Improved statistical fluctuation analysis for twin-field quantum key distribution

Full metadata record
DC Field Value Language
dc.contributor.authorPark, Jooyoun-
dc.contributor.authorLee, Jonghyun-
dc.contributor.authorHeo, Jun-
dc.date.accessioned2021-11-22T10:40:45Z-
dc.date.available2021-11-22T10:40:45Z-
dc.date.created2021-08-30-
dc.date.issued2021-04-
dc.identifier.issn1570-0755-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/128345-
dc.description.abstractThe decoy state scheme is the most widely studied quantum key distribution protocol to detect existence of eavesdropping. Twin-field quantum key distribution (TF-QKD) is a promising protocol for realizing secret key sharing over long distances. However, the secret key rate becomes relatively low considering the finite-size effect. In this study, the statistical fluctuation analysis of the four-intensity decoy-state TF-QKD system proposed in a recent study (Zhang et al. in Phys Rev A 95:012333, 2017) is considered, and its performance is compared with the results of the Gaussian approximation and Chernoff bound methods. Numerical simulations show that the suggested method shows a considerable improvement in both the key generation rate and transmission distance over the Chernoff bound method under actual experimental environment. We find that the scheme increases secret key rate 1.04-4.06 times and transmission distances 10-18 km farther. We also present optimized parameters for Gaussian, Chernoff, and our scheme.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.titleImproved statistical fluctuation analysis for twin-field quantum key distribution-
dc.typeArticle-
dc.contributor.affiliatedAuthorHeo, Jun-
dc.identifier.doi10.1007/s11128-021-03035-x-
dc.identifier.scopusid2-s2.0-85103411159-
dc.identifier.wosid000636447900001-
dc.identifier.bibliographicCitationQUANTUM INFORMATION PROCESSING, v.20, no.4-
dc.relation.isPartOfQUANTUM INFORMATION PROCESSING-
dc.citation.titleQUANTUM INFORMATION PROCESSING-
dc.citation.volume20-
dc.citation.number4-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryQuantum Science & Technology-
dc.relation.journalWebOfScienceCategoryPhysics, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Mathematical-
dc.subject.keywordAuthorQuantum key distribution-
dc.subject.keywordAuthorTwin-field QKD-
dc.subject.keywordAuthorFinite-size effect-
dc.subject.keywordAuthorDecoy state-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher HEO, JUN photo

HEO, JUN
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE