arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0910.4153quant-ph
收藏

量子网络和捕光复合物中的噪声辅助能量转移

Noise-assisted energy transfer in quantum networks and light-harvesting complexes

Alex W. Chin, Animesh Datta, Filippo Caruso, Susana F. Huelga, Martin B. Plenio

摘要:

我们提供了物理直观的机制,噪声的影响激发能转移(EET)的网络。使用这些机制的去相辅助运输(DAT)的激子和网站的混合基础上,我们开发了一个详细的图片噪声如何使能量转移的效率远高于$90%$在整个Fenna-Matthew-Olson(FMO)复合物,一种类型的光捕获分子。我们明确地证明了噪音如何改变整个复杂的能量转移途径,抑制无效的途径,促进直接的反应中心。我们解释说,DAT的基本机制的基础预计是强大的,相对于所考虑的噪声模型,但显示的激子-声子耦合的具体细节,这在很大程度上仍然是未知的,在这些类型的复合物,特别是非马尔可夫效应的影响,结果在变化的动力学特征,应该服从实验验证在当前或计划的技术。对天然化合物中DAT的详细了解应该开辟一种新的“噪声工程”范例,通过这种范例,可以在人工捕光结构中优化EET。

英文摘要:

We provide physically intuitive mechanisms for the effect of noise on excitation energy transfer (EET) in networks. Using these mechanisms of dephasing-assisted transport (DAT) in a hybrid basis of both excitons and sites, we develop a detailed picture of how noise enables energy transfer with efficiencies well above $90%$ across the Fenna-Matthew-Olson (FMO) complex, a type of light harvesting molecule. We demonstrate explicitly how noise alters the pathways of energy transfer across the complex, suppressing ineffective pathways and facilitating direct ones to the reaction centre. We explain that the fundamental mechanisms underpinning DAT are expected to be robust with respect to the considered noise model but show that the specific details of the exciton-phonon coupling, which remain largely unknown in these type of complexes, and in particular the impact of non-Markovian effects, results in variations of dynamical features that should be amenable to experimental verification within current or planned technology. A detailed understanding of DAT in natural compounds should open up a new paradigm of `noise-engineering' by which EET can be optimized in artificial light-harvesting structures.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑