superdense coding
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2021 ◽  
Vol 3 (2) ◽  
pp. 272-285
Author(s):  
Charles Alexandre Bédard

It has been more than 20 years since Deutsch and Hayden proved the locality of quantum theory, using the Heisenberg picture of quantum computational networks. Of course, locality holds even in the face of entanglement and Bell’s theorem. Today, most researchers in quantum foundations are still convinced not only that a local description of quantum systems has not yet been provided, but that it cannot exist. The main goal of this paper is to address this misconception by re-explaining the descriptor formalism in a hopefully accessible and self-contained way. It is a step-by-step guide to how and why descriptors work. Finally, superdense coding is revisited in the light of descriptors.


2021 ◽  
Vol 103 (2) ◽  
Author(s):  
George Moreno ◽  
Ranieri Nery ◽  
Carlos de Gois ◽  
Rafael Rabelo ◽  
Rafael Chaves
Keyword(s):  

2020 ◽  
Vol 59 (4) ◽  
pp. 1121-1128 ◽  
Author(s):  
Xu-Feng Niu ◽  
Wen-Ping Ma ◽  
Bu-Qing Chen ◽  
Ge Liu ◽  
Qi-Zheng Wang

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Fakhar Zaman ◽  
Youngmin Jeong ◽  
Hyundong Shin

Entropy ◽  
2019 ◽  
Vol 21 (6) ◽  
pp. 598 ◽  
Author(s):  
Yan–Ling Li ◽  
Dong–Mei Wei ◽  
Chuan–Jin Zu ◽  
Xing Xiao

Quantum channels with correlated effects are realistic scenarios for the study of noisy quantum communication when the channels are consecutively used. In this paper, superdense coding is reexamined under a correlated amplitude damping (CAD) channel. Two techniques named as weak measurement and environment-assisted measurement are utilized to enhance the capacity of superdense coding. The results show that both of them enable us to battle against the CAD decoherence and improve the capacity with a certain probability. Remarkably, the scheme of environment-assisted measurement always outperforms the scheme of weak measurement in both improving the capacity and successful probability. These notable superiorities could be attributed to the fact that environment-assisted measurement can extract additional information from the environment and thus it performs much better.


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