Highly efficient energy excitation transfer in light-harvesting complexes: The fundamental role of n

By Filippo Caruso, Alex W. Chin, Animesh Datta, Susana F. Huelga, Martin Bodo Plenio. 2009

560 citations recorded by the source corpus.

Excitation transfer through interacting systems plays an important role in many areas of physics, chemistry, and biology. The uncontrollable interaction of the transmission network with a noisy environment is usually assumed to deteriorate its transport capacity, especially so when the system is fundamentally quantum mechanical. Here we identify key mechanisms through which noise such as dephasing, perhaps counter intuitively, may actually aid transport through a dissipative network by opening up additional pathways for excitation transfer. We show that these are processes that lead to the inhibition of destructive interference and exploitation of line broadening effects. We illustrate how these mechanisms operate on a fully connected network by developing a powerful analytical technique that identifies the invariant (excitation trapping) subspaces of a given Hamiltonian. Finally, we show how these principles can explain the remarkable efficiency and robustness of excitation energy transfer from the light-harvesting chlorosomes to the bacterial reaction center in photosynthetic complexes and present a numerical analysis of excitation transport across the Fenna-Matthew-Olson (FMO) complex together with a brief analysis of its entanglement properties. Our results show that, in general, it is the careful interplay of quantum mechanical features and the unavoidable environmental noise that will lead to an optimal system performance.

Subfields: Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e54355cf8fc776390f535f55a036ac7bc635bcf6

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In Atomic and Molecular Physics, and Optics

  1. Seogjoo J. Jang
  2. Benedetta Mennucci
  3. Susana F. Huelga
  4. Martin Bodo Plenio
  5. Daniel Alonso
  6. I. D. Vega
  7. Filippo Caruso
  8. Gitt Panitchayangkoon

In Cellular and Molecular Neuroscience

  1. Benedetta Mennucci
  2. Seogjoo J. Jang
  3. Martin Bodo Plenio
  4. Susana F. Huelga
  5. Birgit Hein
  6. Tobias Kramer
  7. Mirta Rodr'iguez
  8. Christoph Kreisbeck

In Molecular Biology

  1. Seogjoo J. Jang
  2. Benedetta Mennucci
  3. Martin Bodo Plenio
  4. Susana F. Huelga
  5. K. Birgitta Whaley
  6. Mohan Sarovar
  7. Stephan Hoyer
  8. Daniel Alonso

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