假想时间
张量积
矩阵乘法
矩阵指数
缩放比例
希尔伯特空间
路径积分公式
时间演化
哈密顿量(控制论)
指数函数
操作员(生物学)
应用数学
算法
量子
量子计算机
计算
量化(信号处理)
计算机科学
数学
可扩展性
水准点(测量)
路径(计算)
基质(化学分析)
张量(固有定义)
算法效率
产品(数学)
计算复杂性理论
统计物理学
量子模拟器
时间复杂性
时空
量子位元
作者
Xiaoyu Yang,Limin Liu,Wencheng Zhao,Jiajun Ren,Wei‐Hai Fang
摘要
Accurately simulating the non-Markovian dynamics of open quantum systems remains a significant challenge. While the recently proposed time-evolving matrix product operator (TEMPO) algorithm based on path integrals successfully circumvents the exponential scaling associated with memory length, its reliance on layer-by-layer tensor contractions and compressions leads to steep scaling with respect to the system Hilbert space dimension. In this work, we introduce the effective Hamiltonian-based TEMPO (EH-TEMPO) algorithm, which reformulates the calculation of the Feynman-Vernon influence functional as an imaginary time evolution governed by an effective Hamiltonian. We demonstrate that this effective Hamiltonian admits a highly compact matrix product operator representation, enabling substantial compression with negligible loss of accuracy. Combining a one-shot global evolution with a backward retrieval approach, EH-TEMPO significantly reduces algorithmic complexity and is naturally suited for GPU acceleration. We benchmark the method by simulating the energy transfer dynamics in the 7-site Fenna-Matthews-Olson complex model and 4-site perylene bisimide model. The results demonstrate that EH-TEMPO achieves numerically exact accuracy with superior efficiency, delivering speedups of up to 17.5× on GPU hardware compared to standard CPU implementations.
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