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Transcorrelated methods for multireference problems
J Philip Haupt1, Evelin M C Christlmaier1, Pablo López Ríos1
1Max-Planck Institute for Solid State Research, Heisenbergstr. 1, 70569 Stuttgart, Germany.
We developed a new quantum Monte Carlo method for accurate electronic structure calculations. This approach enhances Jastrow factor optimization for multireference problems, achieving chemical accuracy for molecular systems.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Electronic Structure Theory
Background:
- Accurate electronic structure calculations are crucial for understanding molecular properties.
- Multireference systems pose significant challenges for traditional quantum chemistry methods.
- The transcorrelated method offers a promising route to high accuracy but requires careful treatment of the reference wavefunction.
Purpose of the Study:
- To adapt and apply the transcorrelated method to problems with multireference character.
- To propose and validate a workflow for optimizing the Jastrow factor using multi-configurational reference wavefunctions.
- To achieve highly accurate energies and excitation energies for various molecules.
Main Methods:
- Jastrow factor optimization using multi-configurational reference wavefunctions.
- Transcorrelated-Full Configuration Interaction Quantum Monte Carlo (TC-FCIQMC) within the xTC approximation.
- Application to N2 binding curve, and excitation energies of N2, CO, and NH3.
Main Results:
- Demonstrated chemical accuracy for the N2 binding curve using the aug-cc-pVTZ basis set.
- Obtained accurate excitation energies for N2, CO, and NH3, comparable to state-of-the-art theoretical methods.
- Showcased the effectiveness of the proposed workflow for Jastrow optimization in multireference systems.
Conclusions:
- The proposed workflow significantly improves the accuracy of the transcorrelated method for multireference problems.
- The method provides highly accurate results with modest basis sets, demonstrating its efficiency.
- This work advances the application of quantum Monte Carlo methods in computational chemistry.
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