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Article

Monte Carlo-Based Performance Analysis for Underwater Continuous-Variable Quantum Key Distribution

1
School of Automation, Central South University, Changsha 410083, China
2
Jiangsu Key Construction Laboratory of IoT Application Technology, Taihu University, Wuxi 214064, China
3
School of Computer Science and Engineering, Central South University, Changsha 410083, China
4
College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(17), 5744; https://doi.org/10.3390/app10175744
Submission received: 16 July 2020 / Revised: 14 August 2020 / Accepted: 18 August 2020 / Published: 19 August 2020
(This article belongs to the Special Issue Quantum Communications and Quantum Networks)

Abstract

There is a growing interest in the security of underwater communication with the increasing demand for undersea exploration. In view of the complex composition and special optical properties of seawater, this paper deals with a performance analysis for continuous-variable quantum key distribution (CVQKD) over an underwater link. In particular, we focus on analyzing the channel transmittance and detection efficiency based on Monte Carlo simulation for different water types, link distances and transceiver parameters. A comparison between the transmittance obtained by simple Beer’s law and Monte Carlo simulation reveals that the transmittance of underwater link may be severely underestimated in the previous underwater CVQKD research. The effect of the receiver aperture and field of view (FOV) on detection efficiency under different water types is further evaluated based on Monte Carlo. Simulation results show that the transmission distance of the underwater CVQKD system obtained by Monte Carlo simulation in pure sea water, clear ocean water and coastal ocean water is larger than that obtained by Beer’s law, while the key rate of the system in all types of water is smaller than that obtained by Beer’s law because the size and FOV of the receiver aperture are taken into account. By considering the practical system parameters, this paper establishes a comprehensive model for evaluating the security of underwater CVQKD systems with different system configurations.
Keywords: continuous variable quantum key distribution; underwater channel; Monte Carlo continuous variable quantum key distribution; underwater channel; Monte Carlo

Share and Cite

MDPI and ACS Style

Mao, Y.; Wu, X.; Huang, W.; Liao, Q.; Deng, H.; Wang, Y.; Guo, Y. Monte Carlo-Based Performance Analysis for Underwater Continuous-Variable Quantum Key Distribution. Appl. Sci. 2020, 10, 5744. https://doi.org/10.3390/app10175744

AMA Style

Mao Y, Wu X, Huang W, Liao Q, Deng H, Wang Y, Guo Y. Monte Carlo-Based Performance Analysis for Underwater Continuous-Variable Quantum Key Distribution. Applied Sciences. 2020; 10(17):5744. https://doi.org/10.3390/app10175744

Chicago/Turabian Style

Mao, Yiyu, Xuelin Wu, Wenti Huang, Qin Liao, Han Deng, Yijun Wang, and Ying Guo. 2020. "Monte Carlo-Based Performance Analysis for Underwater Continuous-Variable Quantum Key Distribution" Applied Sciences 10, no. 17: 5744. https://doi.org/10.3390/app10175744

APA Style

Mao, Y., Wu, X., Huang, W., Liao, Q., Deng, H., Wang, Y., & Guo, Y. (2020). Monte Carlo-Based Performance Analysis for Underwater Continuous-Variable Quantum Key Distribution. Applied Sciences, 10(17), 5744. https://doi.org/10.3390/app10175744

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