2016
DOI: 10.1088/1367-2630/18/2/023035
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Efficient simulation of non-Markovian system-environment interaction

Abstract: In this work, we combine an established method for open quantum systems-the time evolving density matrix using orthogonal polynomials algorithm-with the transfer tensors formalism, a new tool for the analysis, compression and propagation of non-Markovian processes. A compact propagator is generated out of sample trajectories covering the correlation time of the bath. This enables the investigation of previously inaccessible long-time dynamics with linear effort, such as those ensuing from low temperature regim… Show more

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Cited by 77 publications
(62 citation statements)
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“…The CC mapping has been used to study an Otto cycle stroke type engine [38], stochastic thermodynamics based on coarse-graining [41], continuously coupled but not periodically driven engines [37], a fermionic autonomous Maxwell demon [39] and a fermionic electronic Maxwell demon [40], all in the strong coupling and non-Markovian regime. It has offered an accurate method for the study of open quantum systems apart from the thermodynamic applications [53][54][55] and is closely related to the method of time evolving density matrix using orthogonal polynomials algorithm [50,[56][57][58]. It was, however, not applied to the study of periodically driven systems so far.…”
Section: Collective Coordinate Mappingmentioning
confidence: 99%
“…The CC mapping has been used to study an Otto cycle stroke type engine [38], stochastic thermodynamics based on coarse-graining [41], continuously coupled but not periodically driven engines [37], a fermionic autonomous Maxwell demon [39] and a fermionic electronic Maxwell demon [40], all in the strong coupling and non-Markovian regime. It has offered an accurate method for the study of open quantum systems apart from the thermodynamic applications [53][54][55] and is closely related to the method of time evolving density matrix using orthogonal polynomials algorithm [50,[56][57][58]. It was, however, not applied to the study of periodically driven systems so far.…”
Section: Collective Coordinate Mappingmentioning
confidence: 99%
“…25,37,39,40 A multitude of powerful computational methods have been developed to deal with the difficulties faced in modelling strongly dissipative quantum systems. Examples include the hierarchical equations of motion (HEOM), [41][42][43][44][45][46] density matrix renormalisation group (and related) techniques, 25,36,47,48 and those based on the path integral formalism. [49][50][51][52] All can converge to numerically exact results in specific circumstances.…”
Section: Introductionmentioning
confidence: 99%
“…By construction, T-TEDOPA can be implemented as a plug-in procedure by the already existing and highly optimized TEDOPA codes, which can now be used to efficiently simulate open quantum system dynamics across the entire temperature range. Our approach is particularly relevant whenever one wants to provide a quantitative description of open-system dynamics in the presence of structured and non-perturbative environments, such as those commonly encountered in quantum biology [5], nanoscale thermodynamics [57] or condensed-matter systems [38], as well as situations where the effect of environmental noise has to be identified accurately to discriminate it from possible fundamental decoherence in high-precision tests of the quantum superposition principle [58,59], or be exploited as building block in other methods, such as the Transfer Tensor scheme [60,61]. Future research will be devoted to the extension of the T-TEDOPA method to more general types of system-bath interactions.…”
mentioning
confidence: 99%