Parameter Optimization Based BPNN of Atmosphere Continuous-Variable Quantum Key Distribution

Yu Su,Duan Huang,Ying Guo

doi:10.3390/e21090908

Yu Su, Duan Huang + Show 1 more

Open Access

https://doi.org/10.3390/e21090908

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Journal: Entropy	Publication Date: Sep 18, 2019
Citations: 7	License type: CC BY 4.0

Affiliation: Central South University

Abstract

The goal of continuous variable quantum key distribution (CVQKD) is to be diffusely used and adopted in diverse scenarios, so the adhibition of atmospheric channel will play a crucial part in constituting global secure quantum communications. Atmospheric channel transmittance is affected by many factors and does not vary linearly, leading to great changes in signal-to-noise ratio. It is crucial to choose the appropriate modulation variance under different turbulence intensities to acquire the optimal secret key rate. In this paper, the four-state protocol, back-propagation neural network (BPNN) algorithm was discussed in the proposed scheme. We employ BPNN to CVQKD, which could adjust the modulation variance to an optimum value for ensuring the system security and making the system performance optimal. The numerical results show that the proposed scheme is equipped to improve the secret key rate efficiently.

Highlights

The flying start of quantum communication makes secure communication conceivable in practice [1,2,3]
As an important applicatory adhibition in the quantum communications, quantum key distribution (QKD) permits communication objects to generate a public secret key at the existence of eavesdropping, and this approach implements secure key interchange that does not rely on computational complexity [4,5,6,7,8,9]
We propose an approach that employs a back propagation artificial neural network (BPNN), which is one of the most popular machine learning tools

Summary

Introduction

The flying start of quantum communication makes secure communication conceivable in practice [1,2,3]. The elliptic-beam model gives consistent results with this situation [24] This model can be employed to analyze atmospheric quantum channels under different weather circumstances [25]. It is crucial to select a suitable modulation variance for different turbulence intensities This is a kind of a parameter optimization that could guarantee the system security and make the system performance optimal.

Transmittance and Security Analysis

Transmittance Analysis

Secret Key Rate in the Atmosphere Turbulence Channel

BPNN-Based CVQKD Scheme

Performance Analysis

Findings

Conclusions