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纠最小化轨道使分子的量子模拟速度更快

¹Beijing Normal University, Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing 100875, China.

Physical review letters

|December 5, 2025

概括

我们开发了一个新的算法来找到纠最小化的轨道,显著改善量子计算.

科学领域:

量子化学是一种量子化学.
计算物理学的计算物理.

背景情况:

量子计算,特别是量子相估计 (QPE),可以实现更快的分子模拟.
有效的初始状态准备对于QPE加速至关重要,但对于铁硫集群等高度相关的系统具有挑战性.
与真实基本状态的重叠通常会随着这些分子中的系统大小呈指数级衰变.

研究的目的:

开发一种高效的经典算法,用于准备量子模拟的准确初始状态.
为了改善复杂分子的初始状态和真实基本状态之间的重叠.
为了减少强相关系系统的量子模拟所需的计算资源.

主要方法:

引入了一种高效的经典算法来识别纠最小化轨道 (EMO).
利用自旋适应的低键维度矩阵产物状态 (MPS) 进行轨道优化.
应用了EMO基础以实现更紧的地面状态表示和更容易的初始状态准备.

主要成果:

对于具有挑战性的分子,EMO基础显著增强了初始状态重叠.
与以前的方法相比,在四个铁集群中实现了近一个数量级的改进.
对于像P集群和FeMo辅因子这样的大型系统,已经证明了实质性的重叠增强 (O(10^2) 到O(10^5)).

结论:

纠最小化的轨道方法极大地缓解了量子计算中的初始状态准备.
这种方法可扩展到具有多个过渡金属中心的大型复杂分子.
挑战性系统的量子模拟需要的资源比以前估计的要少.

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