Quantum Two-State Dynamics Driven by Stationary Non-Markovian Discrete Noise: Exact Results

dc.creatorGoychuk, Igor
dc.creatorHanggi, Peter
dc.date2006-01-11
dc.date.accessioned2026-07-07T08:05:28Z
dc.date.available2026-07-07T08:05:28Z
dc.descriptionWe consider the problem of stochastic averaging of a quantum two-state dynamics driven by non-Markovian, discrete noises of the continuous time random walk type (multistate renewal processes). The emphasis is put on the proper averaging over the stationary noise realizations corresponding, e.g., to a stationary environment. A two state non-Markovian process with an arbitrary non-exponential distribution of residence times (RTDs) in its states with a finite mean residence time provides a paradigm. For the case of a two-state quantum relaxation caused by such a classical stochastic field we obtain the explicit exact, analytical expression for the averaged Laplace-transformed relaxation dynamics. In the limit of Markovian noise (implying an exponential RTD), all previously known results are recovered. We exemplify new more general results for the case of non-Markovian noise with a biexponential RTD. The averaged, real-time relaxation dynamics is obtained in this case by numerically exact solving of a resulting algebraic polynomial problem. Moreover, the case of manifest non-Markovian noise with an infinite range of temporal autocorrelation (which in principle is not accessible to any kind of perturbative treatment) is studied, both analytically (asymptotic long-time dynamics) and numerically (by a precise numerical inversion of the Laplace-transformed averaged quantum relaxation).
dc.descriptionChemical Physics, in press
dc.identifierhttps://arxiv.org/abs/cond-mat/0601219
dc.identifierhttp://arxiv.org/abs/cond-mat/0601219
dc.identifierChem. Phys. 324, 160 (2006)
dc.identifierdoi:10.1016/j.chemphys.2005.11.026
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/130294
dc.subjectStatistical Mechanics
dc.titleQuantum Two-State Dynamics Driven by Stationary Non-Markovian Discrete Noise: Exact Results
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