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Spectral origin of non-Markovian open-system dynamics: A finite harmonic model without approximations

机译:非马尔可夫开放系统动力学的谱源:无近似的有限谐波模型

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摘要

Dissipation caused by nonhomogeneous bosonic finite chain environments (implementable in, e.g., segmented ion traps) is investigated through an exact diagonalization approach, avoiding common approximations used to describe open systems. Different spectral densities, including band gaps, can be engineered to separately assess different factors leading to memory effects, namely, the environment's size, temperature, proximity of the cutoff frequency, the spectral density's shape (sub-Ohmic, Ohmic, super-Ohmic), and the strength of its coupling to the system. Non-Markovianity is quantified with two recently introduced measures related to information backflow and nondivisibility of the system dynamical map. By sweeping the bath spectrum via tuning of the system frequency we show strongest memory effects at band-gap edges and provide an interpretation based on energy flow between system and environment. A system weakly coupled to a stiff chain ensures a Markovian dynamics, while the size of the environment as well as the local density of modes are not substantial factors. We show an opposite effect when increasing the temperature inside or outside the spectral band gap. Further, non-Markovianity arises for larger (negative and positive) powers of algebraic spectral densities, being the Ohmic case not always the most Markovian one. © 2014 American Physical Society.
机译:通过精确的对角化方法研究了由非均质玻色子有限链环境(例如可在分段离子阱中实现)引起的耗散,避免了用于描述开放系统的通用近似法。可以设计不同的光谱密度(包括带隙)来分别评估导致记忆效应的不同因素,即环境的大小,温度,截止频率的接近度,光谱密度的形状(亚欧姆,欧姆,超欧姆) ,以及与系统耦合的强度。非马尔可夫性用两个最近引入的与信息回流和系统动态图不可分割性有关的度量来量化。通过调节系统频率扫描浴频谱,我们在带隙边缘显示出最强的记忆效应,并根据系统与环境之间的能量流提供了一种解释。弱耦合到刚性链的系统可确保马尔可夫动力学,而环境的大小以及模式的局部密度并不是主要因素。当增加光谱带隙内部或外部的温度时,我们表现出相反的效果。此外,非马尔可夫性产生于代数谱密度的更大(负和正)次方,这是欧姆性情况,并不一定总是最马尔可夫性。 ©2014美国物理学会。

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