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Quantum Cryptography Security
Quantum Machine Learning
Robust diagnostics of dark counts for quantum networks
arXiv
Authors: Nikolay Sergeevich Perminov, Maxim Aleksandrovich Smirnov, Konstantin Sergeevich Melnik, Lenar Rishatovich Gilyazov, Oleg Igorevich Bannik, Marat Rinatovich Amirhanov, Diana Yurevna Tarankova, Aleksandr Alekseevich Litvinov
Year
2019
Paper ID
14320
Status
Preprint
Abstract Read
~2 min
Abstract Words
44
Citations
N/A
Abstract
In this work, we study the timestamps in the registration of single-photon detector counts in quantum communications. The analysis of afterpulse counts on the basis of several approaches is carried out. Robust diagnostics of keys is proposed to increase the security of quantum networks.
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- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2019 reference point for readers tracking recent quantum research.
- In this work, we study the timestamps in the registration of single-photon detector counts in quantum communications.
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