Accurate Non-adiabatic Quantum Dynamics from Pseudospectral Sampling of Time-dependent Gaussian Basis Sets
Charles W. Heaps, David A. Mazziotti

TL;DR
This paper introduces a pseudospectral Gaussian basis method for non-adiabatic quantum dynamics that reduces computational scaling and accurately models population transfer and coherence in molecular systems.
Contribution
It presents a novel pseudospectral sampling technique that improves efficiency and accuracy in simulating non-adiabatic quantum dynamics with Gaussian basis functions.
Findings
Accurately models nonadiabatic population transfer.
Reduces potential energy evaluation complexity from O(N^2) to O(N).
Achieves quantitative agreement with exact calculations.
Abstract
Quantum molecular dynamics requires an accurate representation of the molecular potential energy surface from a minimal number of electronic structure calculations, particularly for nonadiabatic dynamics where excited states are required. In this paper, we employ pseudospectral sampling of time-dependent Gaussian basis functions for the simulation of non-adiabatic dynamics. Unlike other methods, the pseudospectral Gaussian molecular dynamics tests the Schr\"{o}dinger equation with Dirac delta functions located at the centers of the Gaussian functions reducing the scaling of potential energy evaluations from to . By projecting the Gaussian basis onto discrete points in space, the method is capable of efficiently and quantitatively describing nonadiabatic population transfer and intra-surface quantum coherence. We investigate three model systems; the…
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