在强烈相关的系统中,从高阶时刻到时间相关函数:基于DMRG的内存内核合理论
Yunhao Liu1, Wenjie Dou1,2,3
1Department of Chemistry, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang 310024, China.
The Journal of chemical physics
|December 1, 2025
概括
我们开发了一种混合方法,将内存内核合理论 (MKCT) 和密度矩阵重规范化组 (DMRG) 结合起来,以有效计算强相关系系统中的动态特性.
科学领域:
- 量子多体物理学 量子多体物理学
- 计算物理 计算物理
背景情况:
- 强烈相关的系统表现出复杂的量子现象.
- 精确计算动态可观测值至关重要,但具有挑战性.
- 像时间依赖的DMRG (TD-DMRG) 这样的现有方法在计算上可能很昂贵.
研究的目的:
- 引入一种新的混合方法来计算强相关系系统中的动态性质.
- 为了将内存内核合理论 (MKCT) 扩展到强烈相关的模式.
- 为TD-DMRG提供一个更高效的计算替代方案.
主要方法:
- 记忆内核合理论 (MKCT) 与密度矩阵重规范化组 (DMRG) 的整合.
- 使用矩阵产品运营商 (MPO) 和矩阵产品状态 (MPS) 来表示运营商和波函数.
- 代应用Liouville运算符,类似于DMRG算法.
主要成果:
- 混合MKCT-DMRG方法成功地从更高阶时刻计算了相关函数.
- 在计算哈伯德模型的光谱函数方面表现出有效性.
- 在Hubbard-Holstein模型中精确计算电子摩擦,与TD-DMRG基准相匹配.
结论:
- MKCT-DMRG为模拟动态属性提供了一个计算效率高,准确的框架.
- 该方法避免了TD-DMRG固有的昂贵的实时传播.
- 确立了MKCT-DMRG作为挑战量子系统模拟的有希望的工具.
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