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arXiv 2008.03586physics.chem-phcond-mat.str-el
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特定激发态变分蒙特卡罗和双激发态的混合方法

A hybrid approach to excited-state-specific variational Monte Carlo and doubly excited states

Leon Otis, Isaac M. Craig, Eric Neuscamman

摘要:

我们扩展我们的混合线性方法/加速下降变分蒙特卡罗优化方法的激发态,并研究其在双重激发的功效。除了显示出优越的统计效率相比,线性方法,我们的测试碳二聚体和环戊二烯表现出良好的能量协议与基准方法和实验,分别。我们还证明了通过应用程序到4-氨基苯甲腈的选择性配置相互作用方法,以处理系统中的双激发太大的充分治疗的能力。最后,我们研究了特定状态的方差优化对崩溃到其他状态的方差最小值的稳定性,并发现对称性,抗干扰性和样本量都有作用,以实现稳定性。

英文摘要:

We extend our hybrid linear-method/accelerated-descent variational Monte Carlo optimization approach to excited states and investigate its efficacy in double excitations. In addition to showing a superior statistical efficiency when compared to the linear method, our tests on the carbon dimer and cyclopentadiene show good energetic agreement with benchmark methods and experiment, respectively. We also demonstrate the ability to treat double excitations in systems that are too large for a full treatment by selective configuration interaction methods via an application to 4-aminobenzonitrile. Finally, we investigate the stability of state-specific variance optimization against collapse to other states' variance minima and find that symmetry, ansatz quality, and sample size all have roles to play in achieving stability.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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