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Quantum Multi-User Detection Based on Coherent State Signals

Wenbin Yu1, 2, 3, 4, *, Yinsong Xu1, 2, 3, Wenjie Liu1, 2, 3, Alex Xiangyang Liu4, Baoyu Zheng5

1 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China.
2 Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
3 School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
4 Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 488241266, USA.
5 National Engineering Research Center for Communications and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China.
* Corresponding Author: Wenbin Yu. Email:

Journal of Quantum Computing 2019, 1(2), 81-88.


Multi-user detection is one of the important technical problems for modern communications. In the field of quantum communication, the multi-access channel on which we apply the technology of quantum information processing is still an open question. In this work, we investigate the multi-user detection problem based on the binary coherent-state signals whose communication way is supposed to be seen as a quantum channel. A binary phase shift keying model of this multi-access channel is studied and a novel method of quantum detection proposed according to the conclusion of the quantum measurement theory. As a result, the average interference between deferent users is presented and the average error probability of the quantum detection is derived theoretically. Finally, we show the maximum channel capacity of this effective detection for a two-access quantum channel


Cite This Article

W. Yu, Y. Xu, W. Liu, A. Xiangyang Liu and B. Zheng, "Quantum multi-user detection based on coherent state signals," Journal of Quantum Computing, vol. 1, no.2, pp. 81–88, 2019.

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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