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Low-order tensor approximations for electronic wave functions: Hartree-Fock method with guaranteed precision.
Florian A Bischoff1, Edward F Valeev
1Department of Chemistry, Virginia Tech, Blacksburg, Virginia 24061, USA. fbischoff@vt.edu
This study introduces a new Hartree-Fock method using adaptive spectral elements and tensor approximations. This approach significantly reduces computational costs and storage for quantum chemistry calculations, enabling precise results on standard hardware.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Numerical Analysis
Background:
- Finite element methods (FEM) face challenges with high storage and computational costs as system complexity increases.
- Existing Hartree-Fock (HF) implementations often require substantial resources, limiting their application to larger systems.
Purpose of the Study:
- To develop a novel formulation of the Hartree-Fock (HF) method utilizing an adaptive multiresolution basis set of spectral element type.
- To mitigate the computational and storage burdens associated with traditional FEM in quantum chemistry.
Main Methods:
- Implementation of HF method using low-order tensor approximations for operators and wave functions.
- Avoidance of explicit storage of the full-dimensional wave function.
- Utilizing spectral element basis sets for adaptive multiresolution analysis.
Main Results:
- Demonstrated microhartree precision for systems up to 14 electrons without full wave function storage.
- Low-order tensor approximation reduced storage for one-electron methods, with a modest cost increase.
- Preliminary tests on two-electron wave functions suggest a 50-fold reduction in storage requirements.
Conclusions:
- The developed approach offers significant storage savings and computational efficiency for HF calculations.
- This method makes correlated two-electron methods feasible on modern workstations with guaranteed precision.
- The formulation paves the way for more efficient quantum mechanical simulations of larger and more complex systems.
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