Sun Yi
Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.
J Phys Chem Lett. 2024 Apr 25;15(16):4249-4255. doi: 10.1021/acs.jpclett.4c00634. Epub 2024 Apr 11.
We demonstrate the feasibility of using a stochastic solver, full configuration interaction quantum Monte Carlo with the initiator approximation (i-FCIQMC), to converge fragment embedding calculations, namely bootstrap embedding (BE). We first propose and test a general protocol for converging BE-i-FCIQMC calculations and then suggest how the quality of the calculation compares against that of deterministic BE-FCI using different numbers of walkers. We then demonstrate that BE-i-FCIQMC can perform as well as BE-FCI in the large walker limit and how different factors, including the size of the Hilbert space of the fragments, the number of walkers, and the nature of the chemical system, affect the achievable matching error. We finally perform BE-FCI calculations in realistic systems like benzene and cyclohexane using a double-ζ basis set. This work demonstrates the potential of performing FCI quality calculations in realistic systems using BE.
我们证明了使用一种随机求解器——带有引发剂近似的全组态相互作用量子蒙特卡罗方法(i-FCIQMC)来收敛片段嵌入计算(即自展嵌入,BE)的可行性。我们首先提出并测试了一种用于收敛BE-i-FCIQMC计算的通用协议,然后说明了使用不同数量的行走者时,该计算的质量与确定性BE-FCI的质量相比如何。接着我们证明了在大量行走者的极限情况下,BE-i-FCIQMC的性能与BE-FCI相当,以及包括片段希尔伯特空间大小、行走者数量和化学体系性质在内的不同因素如何影响可实现的匹配误差。最后,我们使用双ζ基组对苯和环己烷等实际体系进行了BE-FCI计算。这项工作展示了使用BE在实际体系中进行FCI质量计算的潜力。