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Continuous-Variable Quantum Network Coding Based on Quantum Discord

Tao Shang1, *, Ran Liu1, Jianwei Liu1, Yafei Hou2

1 School of Cyber Science & Technology, Beihang University, Beijing, 100083, China.
2 Graduate School of Natural Science and Technology, Okayama University, Okayama Prefecture, 700-8530, Japan.

* Corresponding Author: Tao Shang. Email: email.

Computers, Materials & Continua 2020, 64(3), 1629-1645.


Establishing entanglement is an essential task of quantum communication technology. Beyond entanglement, quantum discord, as a measure of quantum correlation, is a necessary prerequisite to the success of entanglement distribution. To realize efficient quantum communication based on quantum discord, in this paper, we consider the practical advantages of continuous variables and propose a feasible continuous-variable quantum network coding scheme based on quantum discord. By means of entanglement distribution by separable states, it can achieve quantum entanglement distribution from sources to targets in a butterfly network. Compared with the representative discrete-variable quantum network coding schemes, the proposed continuous-variable quantum network coding scheme has a higher probability of entanglement distribution and defends against eavesdropping and forgery attacks. Particularly, the deduced relationship indicates that the increase in entanglement is less than or equal to quantum discord.


Cite This Article

APA Style
Shang, T., Liu, R., Liu, J., Hou, Y. (2020). Continuous-variable quantum network coding based on quantum discord. Computers, Materials & Continua, 64(3), 1629-1645.
Vancouver Style
Shang T, Liu R, Liu J, Hou Y. Continuous-variable quantum network coding based on quantum discord. Comput Mater Contin. 2020;64(3):1629-1645
IEEE Style
T. Shang, R. Liu, J. Liu, and Y. Hou "Continuous-Variable Quantum Network Coding Based on Quantum Discord," Comput. Mater. Contin., vol. 64, no. 3, pp. 1629-1645. 2020.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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