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Published on: June 9, 2023
Multiconfiguration Pair-Density Functional Theory for Chromium(IV) Molecular Qubits
Arturo Sauza-de la Vega1, Riddhish Pandharkar1,2, Gautam D Stroscio1
1Department of Chemistry, Pritzker School of Molecular Engineering, James Franck Institute, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, Illinois 60637, United States.
Computational methods accurately predict properties of chromium(IV) aryl complexes for molecular qubit applications. Multireference methods show promise for calculating singlet-triplet gaps and zero-field splitting (ZFS) parameters.
Area of Science:
- Quantum computing
- Materials science
- Computational chemistry
Background:
- Pseudotetrahedral organometallic complexes with chromium(IV) and aryl ligands are emerging as potential molecular qubit candidates.
- Accurate computation of electronic properties is crucial for designing and optimizing molecular qubits.
Purpose of the Study:
- To develop and validate a computational protocol for calculating singlet-triplet gaps and zero-field splitting (ZFS) parameters in Cr(IV) aryl complexes.
- To assess the performance of multireference methods compared to standard density functional theory for these properties.
Main Methods:
- Multiconfiguration pair-density functional theory (PDFT) was employed.
- Two multireference methods, multistate complete active space second-order perturbation theory (MS-CASPT2) and hybrid multistate pair-density functional theory (HMS-PDFT), were utilized.
- Calculations investigated the dependence on active space and molecular geometry.
Main Results:
- MS-CASPT2 and HMS-PDFT demonstrated superior accuracy for singlet-triplet gaps compared to Kohn-Sham density functional theory.
- Both multireference methods showed good qualitative agreement for the very small ZFS parameters.
- The methods accurately predicted the trend in the ratio of rhombic and axial ZFS parameters (|E/D|).
Conclusions:
- The developed computational protocol, particularly using MS-CASPT2 and HMS-PDFT, is effective for predicting key properties of molecular qubit candidates.
- These methodologies provide a reliable guide for future computational studies of ZFS parameters in novel molecular qubit designs.
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