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State preparation robust to modulation signal degradation by use of a dual parallel modulator for high-speed BB84 quantum key distribution systems

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Title: State preparation robust to modulation signal degradation by use of a dual parallel modulator for high-speed BB84 quantum key distribution systems
Authors: Zhang, Weiyang Browse this author
Kadosawa, Yu Browse this author
Tomita, Akihisa Browse this author →KAKEN DB
Ogawa, Kazuhisa Browse this author →KAKEN DB
Okamoto, Atsushi Browse this author →KAKEN DB
Issue Date: 27-Apr-2020
Publisher: Optical Society of America
Journal Title: Optics express
Volume: 28
Issue: 9
Start Page: 13965
End Page: 13977
Publisher DOI: 10.1364/OE.383175
Abstract: Security certification of quantum key distribution systems with a practical device is essential for their social deployment. Considering the transmitter, we investigate quantum state generation affected by degraded electrical signals from practical bandwidth-limited devices on high-speed phase-encoding BB84 quantum key distribution systems. The state preparation flaw caused by this degradation undesirably enhances the distinguishability between the two bases for the BB84 protocol and decreases the key generation rate. We propose the state preparation with a dual parallel modulator for increasing the robustness to signal degradation. To verify the effectiveness of the dual parallel modulator, we characterize the generated states using state tomography and estimate the key generation rate based on the Gottesman-Lo-Liitkenhaus-Preskill theory with fidelity derived from the estimated density matrices. Simulation results show that the key generation rate remains unaffected by modulation voltage shifts up to 20%. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Rights: © 2020 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
Type: article
URI: http://hdl.handle.net/2115/78618
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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