Hilbert space multireference coupled clusters tailored by matrix product states
Ondrej Demel, Jan Brandejs, Jakub Lang, Jiri Brabec, Libor Veis, Ors, Legeza, Jiri Pittner

TL;DR
This paper introduces a Hilbert-space multireference coupled clusters method tailored by matrix product states, addressing bias issues in DMRG-based dynamic correlation calculations for degenerate systems.
Contribution
It develops and compares three variants of a multireference coupled clusters approach using DMRG wave functions, improving treatment of degenerate determinants.
Findings
The multireference approach performs well on diradicals.
Sensitivity to orbital rotations was analyzed.
Three MRCC variants were implemented and tested.
Abstract
The DMRG method, despite its favorable scaling, it is in practice not suitable for computations of dynamic correlation. Several approaches to include that in post-DMRG methods exist; in our group we focused on the tailored-CC (TCC) approach. This method works well in many situations, however, in exactly degenerate cases (with two or more determinants of equal weight), it exhibits a bias towards the reference determinant representing the Fermi vacuum. Although in some cases it is possible to use a compensation scheme to avoid this bias for energy differences, as we did in a previous work on the singlet-triplet gap in the tetramethylenethane (TME) molecule, it is certainly a drawback. In order to overcome the single-reference bias of the TCC method, we have developed a Hilbert-space multireference version of tailored CC, which can treat several determinants on an equal footing. We have…
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Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Advanced Chemical Physics Studies · Molecular Spectroscopy and Structure
