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Main Authors: Bhat, Harish S., Bassi, Hardeep, Ranka, Karnamohit, Isborn, Christine M.
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2403.15596
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author Bhat, Harish S.
Bassi, Hardeep
Ranka, Karnamohit
Isborn, Christine M.
author_facet Bhat, Harish S.
Bassi, Hardeep
Ranka, Karnamohit
Isborn, Christine M.
contents For any linear system with unreduced dynamics governed by invertible propagators, we derive a closed, time-delayed, linear system for a reduced-dimensional quantity of interest. This method does not target dimensionality reduction: rather, this method helps shed light on the memory-dependence of $1$-electron reduced density matrices in time-dependent configuration interaction (TDCI), a scheme to solve for the correlated dynamics of electrons in molecules. Though time-dependent density functional theory has established that the $1$-electron reduced density possesses memory-dependence, the precise nature of this memory-dependence has not been understood. We derive a symmetry/constraint-preserving method to propagate reduced TDCI electron density matrices. In numerical tests on two model systems ($\text{H}_2$ and $\text{HeH}^+$), we show that with sufficiently large time-delay (or memory-dependence), our method propagates reduced TDCI density matrices with high quantitative accuracy. We study the dependence of our results on time step and basis set. To implement our method, we derive the $4$-index tensor that relates reduced and full TDCI density matrices. Our derivation applies to any TDCI system, regardless of basis set, number of electrons, or choice of Slater determinants in the wave function.
format Preprint
id arxiv_https___arxiv_org_abs_2403_15596
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Incorporating Memory into Propagation of 1-Electron Reduced Density Matrices
Bhat, Harish S.
Bassi, Hardeep
Ranka, Karnamohit
Isborn, Christine M.
Dynamical Systems
Computational Engineering, Finance, and Science
Mathematical Physics
Chemical Physics
Quantum Physics
81V55, 34K06, 81S22, 37N20
For any linear system with unreduced dynamics governed by invertible propagators, we derive a closed, time-delayed, linear system for a reduced-dimensional quantity of interest. This method does not target dimensionality reduction: rather, this method helps shed light on the memory-dependence of $1$-electron reduced density matrices in time-dependent configuration interaction (TDCI), a scheme to solve for the correlated dynamics of electrons in molecules. Though time-dependent density functional theory has established that the $1$-electron reduced density possesses memory-dependence, the precise nature of this memory-dependence has not been understood. We derive a symmetry/constraint-preserving method to propagate reduced TDCI electron density matrices. In numerical tests on two model systems ($\text{H}_2$ and $\text{HeH}^+$), we show that with sufficiently large time-delay (or memory-dependence), our method propagates reduced TDCI density matrices with high quantitative accuracy. We study the dependence of our results on time step and basis set. To implement our method, we derive the $4$-index tensor that relates reduced and full TDCI density matrices. Our derivation applies to any TDCI system, regardless of basis set, number of electrons, or choice of Slater determinants in the wave function.
title Incorporating Memory into Propagation of 1-Electron Reduced Density Matrices
topic Dynamical Systems
Computational Engineering, Finance, and Science
Mathematical Physics
Chemical Physics
Quantum Physics
81V55, 34K06, 81S22, 37N20
url https://arxiv.org/abs/2403.15596