论文标题
在非马克维亚近似下，通过混合噪声优化量子传送和密集编码
Optimizing Quantum Teleportation and Dense Coding via Mixed Noise Under Non-Markovian Approximation
论文作者
论文摘要
物理学家被开放系统动力学，量子系统如何发展以及如何保护他们免受不必要的环境噪声的影响，尤其是环境记忆效应不可忽略的，就像非马克维亚近似值一样。有几种方法可以解决非马克维亚案例的主方程，我们使用扰动方法为两个量子系统获得了量子状态扩散方程的解，这些方法在各种类型的环境噪声的影响下，即放松，倾向，倾向和混合。我们发现，将这两种类型的噪声混合有益于量子传送和量子超密集的编码，通过在松弛过程中引入强磁场将在某些时间尺度上提高量子相关性。
Physicists are attracted to open-system dynamics, how quantum systems evolve, and how they can protected from unnecessary environmental noise, especially environmental memory effects are not negligible, as with non-Markovian approximations. There are several methods to solve master equation of non-Markovian cases, we obtain the solutions of quantum-state-diffusion equation for a two qubit system using perturbation method, which under influence of various types of environmental noises, i.e., relaxation, dephasing and mix of them. We found that mixing these two types of noises benefit the quantum teleportation and quantum super-dense coding, that by introducing strong magnetic field on the relaxation processes will enhance quantum correlation in some time-scale.
