arXiv 2007.136022020-07-27quant-ph

多激发流形在天线复合体驱动量子模拟器中的作用

The role of the multiple excitation manifold in a driven quantum simulator of an antenna complex

A. W. Chin, B. Le Dé, E. Mangaud, O. Atabek, M. Desouter-Lecomte

摘要：

生物分子光捕获天线作为纳米级设备在一个制度，其中单个光，物质和振动量子的相干相互作用是非微扰强。由此产生的复杂行为，如果得到充分理解，可以用于无数的能源应用。然而，非微扰动力学在模拟计算上具有挑战性，并且生物材料的实验探索非微扰参数空间的非常有限的区域。所谓的“量子模拟器”的光捕获模型可以提供一个解决这个问题，在这里，我们采用分层运动方程技术，以调查最近的超导实验的波托{}尼克$\it{et}$ $\it{al.}$（Nat. Com。9，904（2018））用于探索激子能量捕获。通过明确包括光驱动场的作用，非微扰退相噪声和三量子位量子线路的全多激发希尔伯特空间，我们预测这些因素对传输效率的可测量的影响。通过分析网络的本征谱，我们发现了一个结构的能级，使网络利用光学“暗”态和激发态吸收的能量转移。我们还证实，时间可分辨的相干振荡可以实验观察到，即使在强，非加性的驱动和光场的作用。

英文摘要：

Biomolecular light-harvesting antennas operate as nanoscale devices in a regime where the coherent interactions of individual light, matter and vibrational quanta are non-perturbatively strong. The complex behaviour arising from this could, if fully understood, be exploited for myriad energy applications. However, non-perturbative dynamics are computationally challenging to simulate, and experiments on biomaterials explore very limited regions of the non-perturbative parameter space. So-called `quantum simulators' of light-harvesting models could provide a solution to this problem, and here we employ the hierarchical equations of motion technique to investigate recent superconducting experiments of Poto{č}nik $\it{et}$ $\it{al.}$ (Nat. Com. 9, 904 (2018)) used to explore excitonic energy capture. By explicitly including the role of optical driving fields, non-perturbative dephasing noise and the full multi-excitation Hilbert space of a three-qubit quantum circuit, we predict the measureable impact of these factors on transfer efficiency. By analysis of the eigenspectrum of the network, we uncover a structure of energy levels that allows the network to exploit optical `dark' states and excited state absorption for energy transfer. We also confirm that time-resolvable coherent oscillations could be experimentally observed, even under strong, non-additive action of the driving and optical fields.

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。

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