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arXiv 2502.04033quant-ph
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Landau-Zener转变中隐藏的事实通过Riccati方程揭示

Hidden facts in Landau-Zener transitions revealed by the Riccati Equation

Universität Ulm(乌尔姆大学);ELI-ALPS (Attosecond Light Pulse Source) Research Institute, ELI-HU Ltd.(ELI-ALPS(阿秒光源)研究所,ELI-HU有限公司);Texas A&M University(德克萨斯农工大学)

Eric P. Glasbrenner, Yannik Gerdes, Sándor Varró, Wolfgang P. Schleich

AI总结:

通过Riccati方程的解,研究Landau-Zener问题中两个概率振幅的动力学,识别出三个关键特征:(i)Riccati方程的解连接了两个概率振幅;(ii)忽略Riccati方程中的非线性等同于马尔可夫近似,得到其中一个概率振幅的精确渐近表达;(iii)Riccati方程揭示了马尔可夫近似无法一般提供另一个概率振幅正确渐近表达的原因。

摘要:

我们通过对应的Riccati微分方程的解来表达基本Landau-Zener问题中两个概率振幅的动力学,并识别出三个关键特征:(i)Riccati方程的解连接了两个概率振幅。(ii)忽略Riccati方程中的非线性等同于马尔可夫近似,该近似得到其中一个概率振幅的精确渐近表达。(iii)Riccati方程揭示了马尔可夫近似无法一般提供另一个概率振幅正确渐近表达的原因。我们的方法依赖于Riccati方程在不同时间尺度上的近似但解析的解,突显了其非线性性质对系统时间演化的影响。

英文摘要:

We express the dynamics of the two probability amplitudes in the elementary Landau-Zener problem in terms of the solution of the corresponding Riccati differential equation and identify three key features: (i) The solution of the Riccati equation provides the bridge between the two probability amplitudes. (ii) Neglecting the non-linearity in the Riccati equation is equivalent to the Markov approximation which yields the exact asymptotic expression for one of the probability amplitudes, and (iii) the Riccati equation identifies the origin of the failure of the Markov approximation not being able to provide us in general with the correct asymptotic expression of the other probability amplitude. Our approach relies on approximate yet analytical solutions of the Riccati equation in different time regimes, highlighting the impact of its non-linear nature on the time evolution of the system.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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