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arXiv 1205.2178quant-phphysics.chem-ph
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扩散马尔可夫过程驱动的量子系统的约化运动方程

Reduced equations of motion for quantum systems driven by diffusive Markov processes

Mohan Sarovar, Matthew D. Grace

摘要:

将量子系统和Ornstein-Uhlenbeck过程耦合演化的随机Liouville方程扩展为耦合微分方程族是一种简化随机驱动量子系统模拟的有用技术。我们扩大了这种技术的适用性,通过完全描述一类扩散马尔可夫过程,一个有用的层次方程可以推导出来。这种技术的扩展,使检查的量子系统驱动的非高斯随机过程与有界范围。我们通过模拟具有非微扰位置涨落的里德伯原子中斯塔克调谐的Förster共振转移,给出了这种扩展技术的一个应用。

英文摘要:

The expansion of a stochastic Liouville equation for the coupled evolution of a quantum system and an Ornstein-Uhlenbeck process into a hierarchy of coupled differential equations is a useful technique that simplifies the simulation of stochastically-driven quantum systems. We expand the applicability of this technique by completely characterizing the class of diffusive Markov processes for which a useful hierarchy of equations can be derived. The expansion of this technique enables the examination of quantum systems driven by non-Gaussian stochastic processes with bounded range. We present an application of this extended technique by simulating Stark-tuned Förster resonance transfer in Rydberg atoms with non-perturbative position fluctuations.

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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