Abstract

Developments in ultrafast-spectroscopy techniques have revealed notably long-lived quantum coherence between electronic states in Fenna–Matthews–Olson complex bacteriochlorophylls, a group of molecules setting a nanoscale structure responsible of the coherent energy transfer in the photosynthetic process of green sulfur bacteria. Despite the experimental advances, such a task should normally be complemented with physical computer simulations to understand its complexity. Several methods have been explored to model this quantum phenomenon, mainly using the quantum open systems theory as a first approach. The traditional methods used in this approach do not take into account the memory effects of the surroundings, which is commonly approximated as a phonon bath on thermal equilibrium. To surpass such an approximation, this article applies the Hierarchical Equations of Motion method, a non-markovian approach also used to analyze the dynamic of such a complex, for the modeling of the system evolution. We perform a parametric analysis about some physical features in the quantum regime involved during the quantum excitation process in order to get a comprehension about its non-trivial dependence on operation parameters. Thus, the analysis is conducted in terms of some relevant physical parameters in the system to track the complex global behavior in aspects as coherence, entanglement, decoherence times, transference times, and efficiency of the main process of energy capturing. As a complementary analysis from the derived outcomes, we compare those features for two different species as a suggestive possible roadmap to track genetic differences in the photosynthetic performance of the complex through its biological nature.

Highlights

  • IntroductionIts success is the result of millions of years of evolution during which those organisms have developed highly specialized structures able to capture, transfer and store light energy by a series of physical and chemical transformations

  • Photosynthesis is a fundamental process for life on Earth through which light energy coming from the sun is absorbed and used by photosynthetic organisms to perform necessary metabolic reactions

  • The Hierarchical Equations of Motion (HEOM) method [49] is a non-markovian approach including the features of previous models, considered better than the previous ones which are markovian

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Summary

Introduction

Its success is the result of millions of years of evolution during which those organisms have developed highly specialized structures able to capture, transfer and store light energy by a series of physical and chemical transformations. An important group of these structures are the light-harvesting complexes (LHC), responsible for capturing photons and transferring their energy to the reaction centers (RC), where charge separation takes place. Since their early discovery, LHCs have captured the attention of researchers due to their remarkable nearly 100% photochemical quantum yield [1,2,3,4].

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