Time-dependent Density Matrix Renormalization Group Quantum Dynamics for Realistic Chemical Systems
Xiaoyu Xie, Yuyang Liu, Yao Yao, Ulrich Schollwock, Chungen Liu, Haibo, Ma

TL;DR
This paper benchmarks four tDMRG quantum dynamics methods against MCTDH and experiments, demonstrating that 2TDVP effectively models complex chemical systems with strong electron-vibration interactions.
Contribution
It provides a comprehensive comparison of four tDMRG methods for realistic chemical systems, highlighting the accuracy and efficiency of 2TDVP in complex quantum dynamics simulations.
Findings
2TDVP method accurately models large chemical systems.
tDMRG methods outperform MCTDH in efficiency.
Optimal parameters balance accuracy and computational cost.
Abstract
Electronic and/or vibronic coherence has been found by recent ultrafast spectroscopy experiments in many chemical, biological and material systems. This indicates that there are strong and complicated interactions between electronic states and vibration modes in realistic chemical systems. Therefore, simulations of quantum dynamics with a large number of electronic and vibrational degrees of freedom are highly desirable. Due to the efficient compression and localized representation of quantum states in the matrix-product state (MPS) formulation, time-evolution methods based on the MPS framework, which we summarily refer to as tDMRG (time-dependent density-matrix renormalization group) methods, are considered to be promising candidates to study the quantum dynamics of realistic chemical systems. In this work, we benchmark the performances of four different tDMRG methods, including global…
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