论文标题
通用prony拟合分解，用于优化的层次量子主方程
Universal Prony fitting decomposition for optimized hierarchical quantum master equations
论文作者
论文摘要
在这项工作中，我们将Prony拟合分解（PFD）作为一种准确有效的指数级数方法，适用于任意相互作用的浴室相关函数。最终优化了由此产生的运动（HEOM）形式主义方程，尤其是在与其他方法无法访问的极低温度方案中。为了进行演示，我们根据著名的PADé光谱分解方法对当前的PFD进行了校准，然后对单障碍Anderson模型系统进行了融合的HEOM评估。
In this work, we propose the Prony fitting decomposition (PFD) as an accurate and efficient exponential series method, applicable to arbitrary interacting bath correlation functions. The resulting hierarchical equations of motion (HEOM) formalism is greatly optimized, especially in extremely low temperature regimes that would be inaccessible with other methods. For demonstration, we calibrate the present PFD against the celebrated Padé spectrum decomposition method, followed by converged HEOM evaluations on the single-impurity Anderson model system.
