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  5. Simulating photosynthetic energy transport on a photonic network
 
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Simulating photosynthetic energy transport on a photonic network
File(s)
s41534-024-00824-x.pdf (1.15 MB)
Published version
Author(s)
Tang, Hao
Shang, Xiao-Wen
Shi, Zi-Yu
He, Tian-Shen
Feng, Zhen
more
Type
Journal Article
Abstract
Quantum effects in photosynthetic energy transport in nature, especially for the typical Fenna-Matthews-Olson (FMO) complexes, are extensively studied in quantum biology. Such energy transport processes can be investigated as open quantum systems that blend the quantum coherence and environmental noise, and have been experimentally simulated on a few quantum devices. However, the existing experiments always lack a solid quantum simulation for the FMO energy transport due to their constraints to map a variety of issues in actual FMO complexes that have rich biological meanings. Here we successfully map the full coupling profile of the seven-site FMO structure by comprehensive characterisation and precise control of the evanescent coupling of the three-dimensional waveguide array. By applying a stochastic dynamical modulation on each waveguide, we introduce the base site energy and the dephasing term in coloured noise to faithfully simulate the power spectral density of the FMO complexes. We show our photonic model well interprets the phenomena including reorganisation energy, vibrational assistance, exciton transfer and energy localisation. We further experimentally demonstrate the existence of an optimal transport efficiency at certain dephasing strength, providing a window to closely investigate environment-assisted quantum transport.
Date Issued
2024-03-11
Date Acceptance
2024-02-19
Citation
npj Quantum Information, 2024, 10
URI
http://hdl.handle.net/10044/1/110540
URL
http://dx.doi.org/10.1038/s41534-024-00824-x
DOI
https://www.dx.doi.org/10.1038/s41534-024-00824-x
ISSN
2056-6387
Publisher
Nature Portfolio
Journal / Book Title
npj Quantum Information
Volume
10
Copyright Statement
© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
http://dx.doi.org/10.1038/s41534-024-00824-x
Publication Status
Published
Article Number
29
Date Publish Online
2024-03-11
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