Dense Coding in Two Kinds of Two-Qubit Spin Squeezing Model

2019 ◽  
Vol 58 (10) ◽  
pp. 3602-3610 ◽  
Author(s):  
Yong-Qiang Li ◽  
Xiao Zhao ◽  
Xiang-Fu Jia ◽  
Guo-Hui Yang
2021 ◽  
Author(s):  
Forouzan Mirmasoudi ◽  
Sodeif Ahadpour

Abstract In this work, we will study thermodynamic cost of dense coding. In this regard, a scheme is proposed for quantum channel where is induced from two initially uncorrelated thermal quantum systems. At first, the quantum Fisher information and spin squeezing is used to quantify the correlation dynamics over the system. The system reveals that the dynamics of quantum correlations depends crucially on specific energy and temperature. Also, they can be utilized as control parameters for optimal dense coding. Several interesting features of the variations of the energy cost and the dense coding capacity are obtained. It can keep its own valid capacity value in a broad range of temperature by increasing in the energy value of excited states. Also, we can identify valid dense coding with the help of calculating energy cost in the system. Using this approach, identifying a critical point of this model in dense coding capacity quality can be very effective.


2020 ◽  
Vol 66 (3 May-Jun) ◽  
pp. 356
Author(s):  
S. Ahadpour ◽  
F. Mirmasoudi

We study thermal dense coding in a two-spin model under an external magnetic eld. Its depen-dencies on magnetic eld, strength of the spin squeezing and temperature are presented in detail.Our main goal now is to study how we can increase the thermal dense coding capacity in the presenceof magnetic eld, strength of the spin squeezing and temperature. It shows that the dense codingtend to valid value by setting the value of the input quantum correlations. Our most importantmotive for this study is to examine the relationship between the thermal properties of super quan-tum discord (SQD) and dense coding. The results show that the thermal properties of the SQD onour channel enable us to determine when and under what conditions the system is suitable for validdense coding. Our proposals could be lead to that this scheme is efficient for quantum informationprocessing.


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