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      Modeling of excitation dynamics in photosynthetic light-harvesting complexes: exact versus perturbative approaches

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          Theoretical examination of quantum coherence in a photosynthetic system at physiological temperature.

          The observation of long-lived electronic coherence in a photosynthetic pigment-protein complex, the Fenna-Matthews-Olson (FMO) complex, is suggestive that quantum coherence might play a significant role in achieving the remarkable efficiency of photosynthetic electronic energy transfer (EET), although the data were acquired at cryogenic temperature [Engel GS, et al. (2007) Evidence for wavelike energy transfer through quantum coherence in photosynthetic systems. Nature 446:782-786]. In this paper, the spatial and temporal dynamics of EET through the FMO complex at physiological temperature are investigated theoretically. The numerical results reveal that quantum wave-like motion persists for several hundred femtoseconds even at physiological temperature, and suggest that the FMO complex may work as a rectifier for unidirectional energy flow from the peripheral light-harvesting antenna to the reaction center complex by taking advantage of quantum coherence and the energy landscape of pigments tuned by the protein scaffold. A potential role of quantum coherence is to overcome local energetic traps and aid efficient trapping of electronic energy by the pigments facing the reaction center complex.
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            Molecular Mechanisms of Photosynthesis

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              Quantum Dynamics of System Strongly Coupled to Low-Temperature Colored Noise Bath: Reduced Hierarchy Equations Approach

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                Author and article information

                Journal
                Journal of Physics B: Atomic, Molecular and Optical Physics
                J. Phys. B: At. Mol. Opt. Phys.
                IOP Publishing
                0953-4075
                1361-6455
                June 28 2017
                June 28 2017
                May 25 2017
                : 50
                : 12
                : 124003
                Article
                10.1088/1361-6455/aa6b87
                82b04fde-9733-4026-9930-d9c8c7cc1da2
                © 2017

                http://iopscience.iop.org/info/page/text-and-data-mining

                http://iopscience.iop.org/page/copyright

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