Abstract

Quantum key distribution (QKD) provides a promising solution for sharing information-theoretic secret keys between two remote legitimate parties. To improve the maximal transmission distance and the maximal error rate tolerance, we apply the advantage distillation technology to analyze the security of practical decoy-state QKD systems. Based on the practical experimental parameters, the device-dependent QKD protocols and the measurement-device-independent QKD protocols have been respectively analyzed, and our analysis results demonstrate that the advantage distillation technology can significantly improve the performance of various QKD protocols. In the four-state and six-state device-dependent QKD protocols, we prove that the maximal transmission distance can be improved from 142 km to 180 km and from 146 km to 187 km respectively. In the four-state and six-state measurement-device-independent QKD protocols, we prove that the maximal transmission distance can be improved from 195 km to 273 km and from 200 km to 282 km respectively.

Advantage distillation technology increases the collection between raw keys in quantum key distribution systems. Combining a decoy state method with advantage distillation technology, the authors demonstrate improved maximal transmission distance and tolerable background error rates.

Details

Title
Improving the performance of practical decoy-state quantum key distribution with advantage distillation technology
Author
Hong-Wei, Li 1 ; Chun-Mei, Zhang 2 ; Mu-Sheng, Jiang 3 ; Qing-Yu, Cai 4 

 SSF IEU, Henan Key Laboratory of Quantum Information and Cryptography, Zhengzhou, China 
 Nanjing University of Posts and Telecommunications, Institute of Quantum Information and Technology, Nanjing, China (GRID:grid.453246.2) (ISNI:0000 0004 0369 3615) 
 SSF IEU, Henan Key Laboratory of Quantum Information and Cryptography, Zhengzhou, China (GRID:grid.453246.2) 
 Hainan University, School of Information and Communication Engineering, Haikou, China (GRID:grid.428986.9) (ISNI:0000 0001 0373 6302) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
23993650
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2638179392
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.