Spectral Densities, Structured Noise and Ensemble Averaging within Open Quantum Dynamics

• URL: http://arxiv.org/abs/2410.04294v1
• Date: Sat, 5 Oct 2024 22:00:19 GMT
• Title: Spectral Densities, Structured Noise and Ensemble Averaging within Open Quantum Dynamics
• Authors: Yannick Marcel Holtkamp, Emiliano Godinez-Ramirez, Ulrich Kleinekathöfer,
• Abstract summary: We present advances for the Numerical Integration of Schr"odinger Equation (NISE) We introduce a modified ensemble-averaging procedure that improves the long-time behavior of the thermalized variant of the NISE scheme. We demonstrate how to use the NISE in conjunction with (highly) structured spectral densities by utilizing a noise generating algorithm for arbitrary structured noise.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Although recent advances in simulating open quantum systems have lead to significant progress, the applicability of numerically exact methods is still restricted to rather small systems. Hence, more approximate methods remain relevant due to their computational efficiency, enabling simulations of larger systems over extended timescales. In this study, we present advances for one such method, namely the Numerical Integration of Schr\"odinger Equation (NISE). Firstly, we introduce a modified ensemble-averaging procedure that improves the long-time behavior of the thermalized variant of the NISE scheme, termed Thermalized NISE. Secondly, we demonstrate how to use the NISE in conjunction with (highly) structured spectral densities by utilizing a noise generating algorithm for arbitrary structured noise. This algorithm also serves as a tool for establishing best practices in determining spectral densities from excited state calculations along molecular dynamics or quantum mechanics/molecular mechanics trajectories. Finally, we assess the ability of the NISE approach to calculate absorption spectra and demonstrate the utility of the proposed modifications by determining population dynamics.

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