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Quantum-memory-assisted entropic uncertainty in spin models with Dzyaloshinskii-Moriya interaction

机译:Dzyaloshinskii-Moriya互动的旋转模型中量子记忆辅助熵不确定性

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摘要

In this article, we investigate the dynamics and correlations of quantum-memory-assisted entropic uncertainty, the tightness of the uncertainty, entanglement, quantum correlation and mixedness for various spin chain models with Dzyaloshinskii-Moriya (DM) interaction, including the XXZ model with DM interaction, the XY model with DM interaction and the Ising model with DM interaction. We find that the uncertainty grows to a stable value with growing temperature but reduces as the coupling coefficient, anisotropy parameter and DM values increase. It is found that the entropic uncertainty is closely correlated with the mixedness of the system. The increasing quantum correlation can result in a decrease in the uncertainty, and the robustness of quantum correlation is better than entanglement since entanglement means sudden birth and death. The tightness of the uncertainty drops to zero, apart from slight volatility as various parameters increase. Furthermore, we propose an effective approach to steering the uncertainty by weak measurement reversal.
机译:在本文中,我们研究了量子记忆辅助熵不确定性,不确定,缠结,量子相关性和与Dzyaloshinskii-Moriya(DM)互动的各种旋转链模型的密封性,包括XXZ模型的动态和相关性DM Interaction,DM交互的XY模型和DM交互的ising模型。我们发现不确定性的增长率增长到稳定的值,而温度不变,但随着耦合系数,各向异性参数和DM值增加。发现熵不确定性与系统的混合密切相关。增加量子相关可能导致不确定度降低,并且量子相关的稳健性优于缠结,因为纠缠意味着突然出生和死亡。除了各种参数增加的情况下,不确定的不确定性的紧张度降至零。此外,我们提出了一种有效的方法来通过弱测量逆转来转向不确定性。

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