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Adapting techniques from the field of information geometry, we show that openquantum system models of Frenkel exciton transport, a prevalent process inphotosynthetic networks, belong to a class of mathematical models known as'sloppy'. Performing a Fisher-information-based multi-parameter sensitivityanalysis to investigate the full dynamical evolution of the system and revealthis sloppiness, we establish which features of a transport network lie at theheart of efficient performance. We find that fine tuning the excitationenergies in the network is generally far more important than optimizing thenetwork geometry and that these conclusions hold for different measures ofefficiency and when model parameters are subject to disorder within parameterregimes typical of molecular complexes involved in photosynthesis. Our approachand insights are equally applicable to other physical implementations ofquantum transport.

Principles underlying efficient exciton transport unveiled by information-geometric analysis