2013
DOI: 10.48550/arxiv.1301.0839
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Energy transfer properties and absorption spectra of the FMO complex: from exact PIMC calculations to TCL master equations

Abstract: We investigate the excitonic energy transfer (EET) in the Fenna-Matthews-Olsen complex and obtain the linear absorption spectrum (at 300 K) by a phenomenological time-convolutionless (TCL) master equation which is validated by utilizing Path Integral Monte Carlo (PIMC) simulations. By applying Marcus' theory for choosing the proper Lindblad operators for the longtime incoherent hopping process and using local non-Markovian dephasing rates, our model shows very good agreement with the PIMC results for EET. It a… Show more

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“…For example, the Hilbert space can be efficient compressed in the methods of the numerical renormalization group (NRG) [23][24][25][26][27][28], the sparse polynomial space representation (SPSR) [29], the time-dependent density matrix renormalization group (t-DMRG) [30] , etc. Additionally, the bosonic Hilbert space can be alternatively sampled by stochastic trajectories in the methods of the quantum Monte Carlo (QMC) [31,32], the path-integral Monte Carlo (PIMC) [33][34][35], the stochastic Liouville-von Neumann equation (SLN) [36], the stochastic path integral (SPI) [37,38], etc. Due to the limitation of space, a huge number of other methods are not able to be discussed here [8].…”
Section: Introductionmentioning
confidence: 99%
“…For example, the Hilbert space can be efficient compressed in the methods of the numerical renormalization group (NRG) [23][24][25][26][27][28], the sparse polynomial space representation (SPSR) [29], the time-dependent density matrix renormalization group (t-DMRG) [30] , etc. Additionally, the bosonic Hilbert space can be alternatively sampled by stochastic trajectories in the methods of the quantum Monte Carlo (QMC) [31,32], the path-integral Monte Carlo (PIMC) [33][34][35], the stochastic Liouville-von Neumann equation (SLN) [36], the stochastic path integral (SPI) [37,38], etc. Due to the limitation of space, a huge number of other methods are not able to be discussed here [8].…”
Section: Introductionmentioning
confidence: 99%