1994
DOI: 10.1103/physrevb.50.15210
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Low-temperature dynamical simulation of spin-boson systems

Abstract: The dynamics of spin-boson systems at very low temperatures has been studied using a real-time path-integral simulation technique which combines a stochastic Monte Carlo sampling over the quantum fluctuations with an exact treatment of the quasiclassical degrees of freedoms. To a large degree, this special technique circumvents the dynamical sign problem and allows the dynamics to be studied directly up to long real times in a numerically exact manner. This method has been applied to two important problems: (1… Show more

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Cited by 188 publications
(192 citation statements)
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References 41 publications
(86 reference statements)
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“…The sum paths are also considered as "quasi-classical", while the difference paths capture quantum fluctuations [18,26]. Equation (14) finally can be written as…”
Section: Simulation Methodsmentioning
confidence: 99%
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“…The sum paths are also considered as "quasi-classical", while the difference paths capture quantum fluctuations [18,26]. Equation (14) finally can be written as…”
Section: Simulation Methodsmentioning
confidence: 99%
“…Various procedures to mitigate the sign problem have been proposed in the past, like maximum entropy methods [27], filter techniques [28,29] or the multilevel blocking approach [25,31]. Here we employ a filter technique optimized for dissipative spin systems as suggested by Egger and Mak [26] which exploits the special symmetries of the influence functional.…”
Section: Simulation Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…20 To make such approaches manageable, perturbation theory in the system-bath coupling (Bloch-Redfield) and in the nonadiabatic coupling (NIBA, Förster) are typically carried out only to second-order and hence performance degrades when these terms become large. In addition, path integral approaches, such as quantum Monte Carlo [21][22][23] and the quasi-adiabatic propagator path integral (QUAPI) 24 have also been developed to propagate the RDM. While these approaches can be made numerically exact, they are frequently difficult to converge in practice when the system-bath coupling is strong or the bath is slow.…”
Section: Introductionmentioning
confidence: 99%