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Improving source-in-the-middle continuous-variable quantum key distribution using a heralded hybrid linear amplifier |
| Lei-Xin Wu(伍磊鑫), Yan-Yan Feng(冯艳艳), and Jian Zhou(周健)† |
| College of Computer and Information Engineering, Central South University of Forestry and Technology, Changsha 410004, China |
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Abstract A hybrid linear amplifier is inserted at the output of the source-in-the-middle distribution protocol to overcome the shortcomings of the transmission distance. The modified protocol aims to maintain a high key rate for long-distance transmission under high noise. It has the potential to significantly broaden the application range of the continuous variable quantum key distribution protocol. The effects of amplifier parameters and noise on the modified protocol are analyzed in detail with regard to applying it to a practical system. To make the simulation more realistic, the effect of finite size on the new protocol is taken into account. It will serve as a guideline for the future use of hybrid linear amplifiers. Different parameters can be adjusted to achieve the best performance for key rates of different quantum channels.
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Received: 07 August 2022
Revised: 04 October 2022
Accepted manuscript online: 19 October 2022
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PACS:
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03.67.-a
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(Quantum information)
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03.67.Hk
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(Quantum communication)
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| Fund: Project supported by the National Natural Science Foundation of China (Grant No. 62201620), the Outstanding Youth Program of Education Department of Hunan (Grant No. 21B0228), Changsha Municipal Natural Science Foundation (Grant No. kq2202293), Hunan Students' Platform for innovation and entrepreneurship training program (Grant No. S202210538069), and the Research Fund of Central South University of Forestry and Technology (Grant No. 1121001703). |
Corresponding Authors:
Jian Zhou
E-mail: 13142153489@163.com
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Cite this article:
Lei-Xin Wu(伍磊鑫), Yan-Yan Feng(冯艳艳), and Jian Zhou(周健) Improving source-in-the-middle continuous-variable quantum key distribution using a heralded hybrid linear amplifier 2023 Chin. Phys. B 32 070310
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