Stochastic Real-Time Second-Order Green's Function Theory for Neutral Excitations in Molecules and Nanostructures
Abstract
We present a real-time second-order Green's function (GF) method for computing excited states in molecules and nanostructures, with a computational scaling of ), where is the number of electrons. The cubic scaling is achieved by adopting the stochastic resolution of the identity to decouple the 4-index electron repulsion integrals (ERI). To improve the time-propagation and the spectral resolution, we adopt the dynamic mode decomposition (DMD) technique and assess the accuracy and efficiency of the combined approach for a chain of hydrogen dimer molecules of different lengths. We find that the stochastic implementation accurately reproduces the deterministic results for the electronic dynamics and excitation energies. Furthermore, we provide a detailed analysis of the statistical errors, bias, and long-time extrapolation. Overall, the approach offers an efficient route to investigate excited states in extended systems with open or closed boundary conditions.
Keywords
Cite
@article{arxiv.2303.06874,
title = {Stochastic Real-Time Second-Order Green's Function Theory for Neutral Excitations in Molecules and Nanostructures},
author = {Leopoldo Mejía and Jia Yin and David R. Reichman and Roi Baer and Chao Yang and Eran Rabani},
journal= {arXiv preprint arXiv:2303.06874},
year = {2024}
}