Non-orthogonal determinants in multi-Slater-Jastrow trial wave functions for fixed-node diffusion Monte Carlo
Shivesh Pathak1, Lucas K Wagner1
1Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801-3028, USA.
The Journal of Chemical Physics
|December 24, 2018
Summary
Optimizing non-orthogonal determinants in Quantum Monte Carlo (QMC) calculations improves accuracy and efficiency. This method enhances variational and fixed-node diffusion Monte Carlo energies for molecular systems.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Materials Science
Background:
- Accurate Quantum Monte Carlo (QMC) calculations rely on effective variational trial wave functions.
- Compact wave functions are crucial for improving the efficiency and accuracy of ab initio QMC methods.
Purpose of the Study:
- To investigate the use of multi-Slater-Jastrow trial wave functions with non-orthogonal determinants.
- To assess the impact of optimizing identical single-particle orbitals independently within separate determinants.
Main Methods:
- Employed variational and fixed-node diffusion Monte Carlo (FN-DMC) methods.
- Utilized a C2 molecule as a test case for calculations.
- Optimized non-orthogonal determinants within multi-Slater-Jastrow wave functions.
Main Results:
- Non-orthogonal determinant optimization consistently improved variational and FN-DMC energies by tenths of an eV.
- Achieved comparable or better accuracy in FN-DMC with fewer non-orthogonal determinants than orthogonal ones.
- Demonstrated enhanced energy computations using non-orthogonal determinants compared to orthogonal counterparts.
Conclusions:
- Trial wave functions incorporating non-orthogonal determinants offer a significant advantage in QMC calculations.
- This approach leads to more accurate and potentially more efficient electronic structure computations.
- The findings suggest a promising avenue for advancing ab initio QMC methodologies.
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