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Excitation variance matching with limited configuration interaction expansions in variational Monte Carlo

机译:与变分蒙特卡罗的有限配置交互扩展匹配的激励方差

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In the regime where traditional approaches to electronic structure cannot afford to achieve accurate energy differences via exhaustive wave function flexibility, rigorous approaches to balancing different states' accuracies become desirable. As a direct measure of a wave function's accuracy, the energy variance offers one route to achieving such a balance. Here, we develop and test a variance matching approach for predicting excitation energies within the context of variational Monte Carlo and selective configuration interaction. In a series of tests on small but difficult molecules, we demonstrate that the approach is effective at delivering accurate excitation energies when the wave function is far from the exhaustive flexibility limit. Results in C-3, where we combine this approach with variational Monte Carlo orbital optimization, are especially encouraging. Published by AIP Publishing.
机译:在传统电子结构的传统方法无法通过详尽的波形功能灵活地实现精确的能量差异的制度中,严格的平衡不同状态的准确性的方法变得可取。 作为波浪函数的直接测量,能源方差提供了一个实现这种平衡的路线。 在这里,我们开发和测试用于在变分蒙特卡罗和选择性配置交互的上下文中预测激励能量的方差匹配方法。 在一系列关于小而困难的分子上的测试中,我们证明了当波浪函数远离穷举的柔韧性极限时,该方法在提供准确的激励能力方面是有效的。 结果在C-3中,我们将这种方法与变分蒙特卡罗轨道优化相结合,特别是令人鼓舞。 通过AIP发布发布。

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