A Localized-Orbital Energy Evaluation for Auxiliary-Field Quantum Monte Carlo
John L. Weber (1), Hung Vuong (1), Pierre A. Devlaminck (1), James, Shee (2), Joonho Lee (1), David R. Reichman (1), Richard A. Friesner (1) ((1), Columbia University, (2) University of California Berkeley)

TL;DR
This paper introduces a localized orbital energy evaluation method for phaseless AFQMC that reduces memory and computational costs while maintaining accuracy, enabling efficient simulations of complex molecules.
Contribution
The paper presents a cubic scaling, low-rank approximation approach for ph-AFQMC based on localized orbitals, improving efficiency and scalability.
Findings
Retains accuracy comparable to full ph-AFQMC for various molecules.
Reduces computational time significantly, using less than 1/15th of previous resources.
Demonstrates effectiveness on challenging molecular systems.
Abstract
Phaseless Auxiliary-Field Quantum Monte Carlo (ph-AFQMC) has recently emerged as a promising method for the production of benchmark-level simulations of medium to large-sized molecules, due to its accuracy and favorable polynomial scaling with system size. Unfortunately the memory footprint of standard energy evaluation algorithms are non-trivial, which can significantly impact timings on graphical processing units (GPUs) where memory is limited. Previous attempts to reduce scaling by taking advantage of the low rank structure of the Coulombic integrals have been successful, but are significantly limited by high prefactors, rendering the utility limited to very large systems. Here, we present a complementary, cubic scaling route to reduce memory and computational scaling based on the low rank of the Coulombic interactions between localized orbitals, focusing on the application to…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Quantum, superfluid, helium dynamics
