Accelerating Hartree-Fock and Density Functional Theory Calculations using Tensor Hypercontraction
Andreas Erbs Hillers-Bendtsen, Todd J. Mart\'inez

TL;DR
This paper introduces a tensor hypercontraction method that accelerates Hartree-Fock and DFT calculations, achieving significant speedups while maintaining accuracy for large molecular systems.
Contribution
It develops a tensor hypercontraction framework with improved scaling and demonstrates a faster Fock matrix construction method with maintained accuracy.
Findings
Achieves 2-4x speedup over existing methods.
Maintains errors below 7.0 x 10^{-3} E_h for large proteins.
Demonstrates effective acceleration for systems with up to 3000 basis functions.
Abstract
With the widespread use of self-consistent field methods, including Hartree-Fock and Density Functional Theory, the implications of accelerating these methods are immense. To this end, we develop a tensor hypercontraction construction with formal scaling that can accelerate self-consistent field calculations. Using tensor hypercontraction, we implement an empirically scaling Fock matrix construction that is 2-4 faster than existing integral-direct methods, as it avoids the repeated recalculation of two-electron repulsion integrals. In combination with a density-difference ansatz, our tensor hypercontraction self-consistent field implementation tests show errors below for relative energies on protein systems containing up to 3000 basis functions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
