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Quantum Information Processing
Erschienen in: Quantum Information Processing 10/2020

01.10.2020

Continuous variable B92 quantum key distribution protocol using single photon added and subtracted coherent states

verfasst von: S. Srikara, Kishore Thapliyal, Anirban Pathak

Erschienen in: Quantum Information Processing | Ausgabe 10/2020

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Abstract

In this paper, a continuous variable B92 quantum key distribution protocol is proposed using single photon added and subtracted coherent states, which are prepared by adding and subsequently subtracting a single photon on a coherent state. It is established that in contrast to the traditional discrete variable B92 protocol, this protocol for quantum key distribution is intrinsically robust against the unambiguous state discrimination attack, which circumvents the requirement for any uninformative states or entanglement used in corresponding discrete variable case as a remedy for this attack. Further, it is shown that the proposed protocol is intrinsically robust against the eavesdropping strategies exploiting classical communication during basis reconciliation, such as beam splitter attack. Security against some individual attacks, key rate, and bit-error rate estimation for the proposed scheme are also provided. Specifically, the proposed scheme ensures very small bit-error rate due to properties of the states used. Thus, the proposed scheme is shown to be preferable over the corresponding discrete variable B92 protocol as well as some similar continuous variable quantum key distribution schemes.
Vorheriger Artikel Quantum coherence for an atom interacting with an electromagnetic field in the background of cosmic string spacetime
Nächster Artikel Enhancement of mechanical entanglement in hybrid optomechanical system

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Metadaten
Titel
Continuous variable B92 quantum key distribution protocol using single photon added and subtracted coherent states
verfasst von
S. Srikara
Kishore Thapliyal
Anirban Pathak
Publikationsdatum
01.10.2020
Verlag
Springer US
Erschienen in
Quantum Information Processing / Ausgabe 10/2020
Print ISSN: 1570-0755
Elektronische ISSN: 1573-1332
DOI
https://doi.org/10.1007/s11128-020-02872-6

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