吸收光谱与内核多项式神经量子状态
Wei Liu1,2, Rui-Hao Bi1,2, Chongxiao Zhao1,2
1Department of Chemistry, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang 310030, China.
The journal of physical chemistry letters
|November 17, 2025
概括
我们开发了核心多项式神经量子状态 (KPNQS) 来预测量子系统的光学吸收光谱. 这种方法有效地计算光谱属性,而不需要明确的兴奋状态计算.
科学领域:
- 量子化学 是一个量子化学.
- 计算物理 计算物理
- 材料科学 材料科学 材料科学
背景情况:
- 预测相关量子系统的光学吸收光谱是计算密集的,因为多体波函数的指数级扩展.
- 现有的方法往往需要昂贵的激发状态的明确计算,这限制了它们对更大的系统的适用性.
研究的目的:
- 引入一个新的生成框架,核心多项式神经量子状态 (KPNQS),用于高效的光谱属性预测.
- 克服相关量子系统的传统方法的计算局限性.
主要方法:
- KPNQS将内核多项式方法 (KPM) 与自回归神经波函数统一.
- 该框架通过高效评估KPM时刻,直接从基态计算光谱属性.
- 这种方法避免了明确的兴奋状态计算,使可扩展的线性响应评估成为可能.
主要成果:
- 对于高达52个电子的分子系统,KPNQS实现了与完全配置相互作用的精确一致.
- 该方法证明了有效的多项式缩放,克服了指数式限制.
- 该框架是建筑不可知,提供广泛的适用性.
结论:
- 在相关物质中,KPNQS提供了一个可扩展和广泛适用的范式,用于无激发状态的光谱建模.
- 这一进步大大降低了预测光学吸收光谱的计算成本.
- KPNQS框架为研究复杂的量子系统开辟了新的可能性.
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