Principles underlying efficient exciton transport unveiled by information-geometric analysis
Principles underlying efficient exciton transport unveiled by information-geometric analysis
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DOI：
10.1103/physrevresearch.3.l032001
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发表时间：
2020-04
影响因子：
4.2
通讯作者：
S. Davidson;F. A. Pollock;E. Gauger
中科院分区：
文献类型：
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作者：
S. Davidson;F. A. Pollock;E. Gauger
从信息几何领域的技术，我们表明，开放的量子系统模型的Frenkel激子运输，光合作用网络中的一个普遍的过程，属于一类被称为“草率”的数学模型。执行基于Fisher信息的多参数灵敏度分析，以调查系统的完整动态演化，并揭示这种草率，我们建立的运输网络的功能在于有效的性能的核心。我们发现，微调网络中的激发能一般远比优化网络的几何形状更重要，这些结论适用于不同的措施的效率，当模型参数受到混乱的参数范围内典型的参与光合作用的分子复合物。我们的方法和见解同样适用于量子传输的其他物理实现。
Adapting techniques from the field of information geometry, we show that open quantum systems models of Frenkel exciton transport, a prevalent process in photosynthetic networks, belong to a class of mathematical models known as ‘sloppy’. Performing a Fisher-information-based multi-parameter sensitivity analysis to investigate the full dynamical evolution of the system and reveal this sloppiness, we establish which features of a transport network lie at the heart of efficient performance. We find that fine tuning the excitation energies in the network is generally far more important than optimizing the network geometry and that these conclusions hold for different measures of efficiency and when model parameters are subject to disorder within parameter regimes typical of molecular complexes involved in photosynthesis. Our approach and insights are equally applicable to other physical implementations of quantum transport.