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  4. Fully Numerical Hartree-Fock Calculations for Atoms and Small Molecules with Quantics Tensor Trains
 
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2025
Journal Article
Title

Fully Numerical Hartree-Fock Calculations for Atoms and Small Molecules with Quantics Tensor Trains

Abstract
We present a fully numerical framework for the optimization of molecule-specific quantum chemical basis functions within the quantics tensor train format using a finite-difference scheme. The optimization is driven by solving the Hartree–Fock equations (HF) with the density-matrix renormalization group algorithm on Cartesian grids that are iteratively refined. In contrast to the standard way of tackling the mean-field problem by expressing the molecular orbitals as linear combinations of atomic orbitals (LCAO) our method only requires as much basis functions as there are electrons within the system. Benchmark calculations for atoms and molecules with up to ten electrons show excellent agreement with LCAO calculations with large basis sets supporting the validity of the tensor network approach. Our work therefore offers a promising alternative to well-established HF-solvers and could pave the way to define highly accurate, fully numerical, molecule-adaptive basis sets, which, in the future, could lead to benefits for post-HF calculations.
Author(s)
Haubenwallner, Paul
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Heller, Matthias
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
Electronic Structure  
Project(s)
Zentrum für Angewandtes Quantencomputing
Zentrum für Angewandtes Quantencomputing
Funder
Hessisches Ministerium für Digitalisierung und Innovation
Hessisches Ministerium für Wissenschaft und Kunst -HMWK-  
Open Access
File(s)
Download (2.59 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1088/2516-1075/add9f8
10.24406/publica-4766
Additional link
Full text
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Branche: Information Technology

  • Research Line: (Interactive) simulation (SIM)

  • LTA: Machine intelligence, algorithms, and data structures (incl. semantics)

  • Tensors

  • Chemistry

  • Quantization

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