发表机构
University of Science and Technology of China; State Key Laboratory of Precision and Intelligent Chemistry; Hefei National Research Center for Physical Sciences at the Microscale（中国科学技术大学; 精密与智能化学国家重点实验室; 合肥微尺度物质科学国家研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过非马尔可夫HEOM/DEOM方法同时处理自旋与玻色子环境，揭示自旋浴关联记忆效应对自由基对磁感知产率的关键作用。
AI 中文摘要
在光感受器罗盘模型中，光产生的自旋关联自由基对经历由塞曼相互作用和各向异性超精细相互作用驱动的单重态-三重态转换，导致依赖于取向的反应产率。在本研究中，我们同时考虑自由基对系统周围的自旋环境和玻色子环境，并专注于自旋浴的关联记忆效应。在线性响应极限下，自旋浴被映射为有效高斯环境。系统在其影响下与玻色子浴共同作用的动力学和产率，使用分级运动方程（HEOM）或等效的耗散子运动方程（DEOM）方法进行统一传播。HEOM/DEOM是非马尔可夫且非微扰的，对高斯环境是精确的。同时展示了马尔可夫Lindblad主方程的相应结果以作比较。数值演示强调了非马尔可夫记忆效应是自由基对磁感知的关键因素。
英文摘要
In the photoreceptor compass model, a light-generated, spin-correlated radical pair undergoes singlet-triplet interconversion driven by Zeeman and anisotropic hyperfine interactions, leading to orientation-dependent reaction yields. In this study, we consider simultaneously the spin environment and the boson environment surrounding the radical-pair system and concentrate on the correlated memory effect of the spin bath. In the linear-response limit, the spin bath is mapped to an effective Gaussian environment. The system dynamics and yields under its influence together with the bosonic bath are propagated uniformly using the hierarchical equations of motion (HEOM) or equivalently the dissipaton equations of motion (DEOM) method. The HEOM/DEOM is non-Markovian and non-perturbative, exact for Gaussian environments. Corresponding results of the Markovian Lindblad master equation are also shown for comparison. Numerical demonstrations highlight the non-Markovian memory effect as a crucial ingredient for radical-pair magnetoreception.
