2016
DOI: 10.1038/srep28204
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When do perturbative approaches accurately capture the dynamics of complex quantum systems?

Abstract: Understanding the dynamics of higher-dimensional quantum systems embedded in a complex environment remains a significant theoretical challenge. While several approaches yielding numerically converged solutions exist, these are computationally expensive and often provide only limited physical insight. Here we address the question: when do more intuitive and simpler-to-compute second-order perturbative approaches provide adequate accuracy? We develop a simple analytical criterion and verify its validity for the … Show more

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Cited by 28 publications
(25 citation statements)
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References 43 publications
(104 reference statements)
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“…Note again that this is not a generic construction [48], but is specific for the choice of decomposition of correlation functions we use here.…”
Section: The Hierarchical Equations Of Motionmentioning
confidence: 99%
“…Note again that this is not a generic construction [48], but is specific for the choice of decomposition of correlation functions we use here.…”
Section: The Hierarchical Equations Of Motionmentioning
confidence: 99%
“…simple heat baths, that have been connected to (transient) phenomena such as violation of detailed balance, extension of electronic coherence times and vibronic mixing of electronic states 4,8,16,18,20,21,23,24,28,[40][41][42] . However, to describe the dissipative dynamics of systems coupled to such environments requires advanced numerical and analytical techniques, and approaches ranging from manybody methods to advanced master equation formulations have recently been applied or developed for this aim 13,19,[43][44][45][46][47][48][49][50][51][52][53][54][55][56] .…”
Section: Introductionmentioning
confidence: 99%
“…Such an enhancement indicates toward the possibility of two situations: (a) the preservation of memory by non‐Markovianity enhances the ETE or (b) the initial pure state relaxes efficiently to increase the trapping at RCC. To demonstrate the effect of non‐Markovianity, we have compared the ETE with both the Markovian and non‐Markovian master equation.…”
Section: Resultsmentioning
confidence: 99%