Cargando…
Neural Network-Based Prediction for Secret Key Rate of Underwater Continuous-Variable Quantum Key Distribution through a Seawater Channel
Continuous-variable quantum key distribution (CVQKD) plays an important role in quantum communications, because of its compatible setup for optical implementation with low cost. For this paper, we considered a neural network approach to predicting the secret key rate of CVQKD with discrete modulatio...
Autores principales: | Mao, Yun, Zhu, Yiwu, Hu, Hui, Luo, Gaofeng, Wang, Jinguang, Wang, Yijun, Guo, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297271/ https://www.ncbi.nlm.nih.gov/pubmed/37372281 http://dx.doi.org/10.3390/e25060937 |
Ejemplares similares
-
Passive Continuous Variable Quantum Key Distribution through the Oceanic Turbulence
por: Zhu, Yiwu, et al.
Publicado: (2023) -
Performance Improvement of Underwater Continuous-Variable Quantum Key Distribution via Photon Subtraction
por: Peng, Qingquan, et al.
Publicado: (2019) -
Improving Underwater Continuous-Variable Measurement-Device-Independent Quantum Key Distribution via Zero-Photon Catalysis
por: Wang, Yuang, et al.
Publicado: (2020) -
Enhancing of Self-Referenced Continuous-Variable Quantum Key Distribution with Virtual Photon Subtraction
por: Zhong, Hai, et al.
Publicado: (2018) -
Security Analysis of a Passive Continuous-Variable Quantum Key Distribution by Considering Finite-Size Effect
por: Xu, Shengjie, et al.
Publicado: (2021)