4.7 Article

Ultrafast ab Initio Quantum Chemistry Using Matrix Product States

Journal

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Volume 15, Issue 4, Pages 2154-2165

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.8b01291

Keywords

-

Funding

  1. excellence cluster The Hamburg Centre for Ultrafast Imaging Structure, Dynamics and Control of Matter at the Atomic Scale (CUI) [DFG-EXC1074]
  2. PIER Helmholtz Graduate School

Ask authors/readers for more resources

Ultrafast dynamics in chemical systems provide a unique access to fundamental processes at the molecular scale. A proper description of such systems is often very challenging because of the quantum nature of the problem. The concept of matrix product states (MPS), however, has proven its performance in describing such correlated quantum systems in recent years for a wide range of applications. In this work, we continue the development of the MPS approach to study ultrafast electron dynamics in quantum chemical systems. The method combines time evolution schemes, such as fourth-order Runge-Kutta and Krylov space time evolution, with MPS, in order to solve the time-dependent Schrodinger equation efficiently. This allows for describing electron dynamics in molecules on a full configurational interaction (CI) level for a few femtoseconds after excitation. As a benchmark, we compare MPS-based calculations to full CI calculations for a chain of hydrogen atoms and for the water molecule. Krylov space time evolution is in particular suited for the MPS approach, as it provides a wide range of opportunities to be adjusted to the reduced MPS dimension case. Finally, we apply the MPS approach to describe charge migration effects in iodoacetylene and find direct agreement between our results and experimental observations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available