2015
DOI: 10.1016/j.chemphys.2014.11.014
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Application of stochastic Liouville–von Neumann equation to electronic energy transfer in FMO complex

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Cited by 17 publications
(37 citation statements)
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“…In our previous work [15], a method for noise generation was proposed which we shall review and further develop here, introducing a modified noise generation scheme that diminishes the exponential growth of the trace of the density matrix which seems to characterize these methods. This is the latest in a series of proposals aimed at tackling this problem [16,17].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In our previous work [15], a method for noise generation was proposed which we shall review and further develop here, introducing a modified noise generation scheme that diminishes the exponential growth of the trace of the density matrix which seems to characterize these methods. This is the latest in a series of proposals aimed at tackling this problem [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…It is typically the initial starting model for any approach that deals with open quantum systems, due to its relative simplicity while still exhibiting dissipative behavior. The model consists of a twolevel spin system surrounded by bosonic degrees of freedom that describe the environment, and can naturally be applied to qubits coupled to an environment [18][19][20][21][22], electronic energy transfer in biological systems [16], Josephson junctions [23][24][25], cold atoms [26,27], and solid-state artificial atoms [28]. The spin-boson model has already been considered previously by us in the context of the ESLN [15]; however, due to a recently discovered implementation error, the numerical results were inaccurate.…”
Section: Introductionmentioning
confidence: 99%
“…With the notable exception of Ref. [23], this optimization was not attempted in previous work, and the non-physical correlations were chosen with an eye to easy numerical noise generation [14,24,25]. ξ was decomposed into a sum of independent terms ξ l ∈ R and ξ s ∈ C with…”
Section: Optimization Of Stochastic Drivingmentioning
confidence: 99%
“…They apply to systems with discrete Hilbert space as well as continuous degrees of freedom and have the particular benefit that they allow for a natural inclusion of external time dependent fields irrespective of amplitude and frequency. Specific applications comprise spin-boson dynamics [35], optimal control of open systems [37], semiclassical dynamics [47], molecular energy transfer [36], generation of entanglement [48], and heat and work fluctuations [49,50], to name but a few.…”
Section: Stochastic Representation Of Open System Dynamicsmentioning
confidence: 99%
“…In fact, influence functionals do not only arise when a partial trace is taken over environmental degrees of freedom, they are also representations of random forces sampled from a classical probability space [25]. This stochastic construction can be reversed, leading to an unraveling of quantum mechanical influence functionals into time-local stochastic action terms [33]; we thus obtain the dynamics of the reduced system through statistical averaging of random state samples generated by numerically solving a single time-local stochastic Liouvillevon Neumann equation (SLN [35][36][37]). Compared to other methods this provides a very transparent formulation of nonMakrovian quantum dynamics with the particular benefit that the consistent inclusion of external time dependent fields is straightforward [37].…”
Section: Introductionmentioning
confidence: 99%