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Efficient local energy evaluation for multi-Slater wave functions in orbital space quantum Monte Carlo
Ankit Mahajan1, Sandeep Sharma1
1Department of Chemistry, University of Colorado, Boulder, Colorado 80302, USA.
We developed a faster quantum Monte Carlo algorithm for calculating multi-Slater wave function energy. This quantum Monte Carlo (QMC) method improves computational efficiency for electronic structure calculations.
Area of Science:
- Computational chemistry
- Quantum mechanics
- Electronic structure theory
Background:
- Selected configuration interaction methods are increasingly using multi-Slater trial wave functions in quantum Monte Carlo (QMC) methods.
- Efficient calculation of local energy is crucial for QMC simulations.
Purpose of the Study:
- To present a novel algorithm for calculating the local energy of a multi-Slater wave function in orbital space.
- To improve the computational scaling compared to existing orbital space algorithms.
Main Methods:
- Developed an algorithm for calculating local energy in orbital space for multi-Slater wave functions.
- Algorithm cost scaling is O(n⁵ + n_c), an improvement over the O(n⁴n_c) of previous methods.
- Applied the method using variational Monte Carlo (VMC) with a Jastrow multi-Slater wave function.
Main Results:
- The new algorithm demonstrates significantly improved computational efficiency.
- Achieved a cost scaling of O(n⁵ + n_c) for ab initio Hamiltonians.
- Successfully applied to polyacetylene, enabling the use of a larger number of configurations.
Conclusions:
- The presented algorithm offers a more efficient approach for QMC calculations involving multi-Slater wave functions.
- This advancement facilitates the use of more complex wave functions, potentially leading to more accurate results in electronic structure studies.
- The method's applicability extends to various QMC techniques, including auxiliary field QMC.
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