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Compactification of Determinant Expansions via Transcorrelation

Chemical Physics · Submitted 4 May 2024

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim To alleviate these effects, we show that the non-Hermitian, transcorrelated (TC) version of SCI significantly compactifies the determinant space, allowing to reach a given accuracy with a much smaller number of determinants.

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arXiv ID2405.02640 (version 1)
Pith IDBUYY4HYU, Pith's permanent record of this paper and its review
CitationAbdallah Ammar, Anthony Scemama, Emmanuel Giner, Pierre-Fran\c{c}ois Loos. "Compactification of Determinant Expansions via Transcorrelation." arXiv:2405.02640 (2024). https://pith.science/paper/BUYY4HYU
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 5,001 input tokens.

What the abstract itself states, as probabilities: claims first 0.04 · states limitation 0.52 · human participants 0.01 · controlled comparison 0.38 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.84 · mentions code or data availability 0.02.

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arXiv listing abstract v1. Results and the main claim are underlined; .

Although selected configuration interaction (SCI) algorithms can tackle much larger Hilbert spaces than the conventional full CI (FCI) method, the scaling of their computational cost with respect to the system size remains inherently exponential. Additionally, inaccuracies in describing the correlation hole at small interelectronic distances lead to the slow convergence of the electronic energy relative to the size of the one-electron basis set. To alleviate these effects, we show that the non-Hermitian, transcorrelated (TC) version of SCI significantly compactifies the determinant space, allowing to reach a given accuracy with a much smaller number of determinants. Furthermore, we note a significant acceleration in the convergence of the TC-SCI energy as the basis set size increases. The extent of this compression and the energy convergence rate are closely linked to the accuracy of the correlation factor used for the similarity transformation of the Coulombic Hamiltonian. Our systematic investigation of small molecular systems in increasingly large basis sets illustrates the magnitude of these effects.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Although selected configuration interaction (SCI) algorithms can tackle much larger Hilbert spaces than the conventional full CI (FCI) method, the scaling of their computational cost with respect to the system size remains inherently exponential. background 0.98 0.06 0.03 asserted 1.00
s1 Additionally, inaccuracies in describing the correlation hole at small interelectronic distances lead to the slow convergence of the electronic energy relative to the size of the one-electron basis set. background 0.98 0.07 0.02 asserted 1.00
s2 To alleviate these effects, we show that the non-Hermitian, transcorrelated (TC) version of SCI significantly compactifies the determinant space, allowing to reach a given accuracy with a much smaller number of determinants. contribution 0.71 0.95 0.84 asserted 1.00
s3 Furthermore, we note a significant acceleration in the convergence of the TC-SCI energy as the basis set size increases. result 1.00 0.91 0.15 asserted 1.00
s4 The extent of this compression and the energy convergence rate are closely linked to the accuracy of the correlation factor used for the similarity transformation of the Coulombic Hamiltonian. interpretation 0.72 0.77 0.16 asserted 1.00
s5 Our systematic investigation of small molecular systems in increasingly large basis sets illustrates the magnitude of these effects. contribution 0.56 0.93 0.05 asserted 0.92

What kind of paper the classifier reports this is: method or tool 0.81 · evidence from simulation or computation 1.00.

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Original abstract

Although selected configuration interaction (SCI) algorithms can tackle much larger Hilbert spaces than the conventional full CI (FCI) method, the scaling of their computational cost with respect to the system size remains inherently exponential. Additionally, inaccuracies in describing the correlation hole at small interelectronic distances lead to the slow convergence of the electronic energy relative to the size of the one-electron basis set. To alleviate these effects, we show that the non-Hermitian, transcorrelated (TC) version of SCI significantly compactifies the determinant space, allowing to reach a given accuracy with a much smaller number of determinants. Furthermore, we note a significant acceleration in the convergence of the TC-SCI energy as the basis set size increases. The extent of this compression and the energy convergence rate are closely linked to the accuracy of the correlation factor used for the similarity transformation of the Coulombic Hamiltonian. Our systematic investigation of small molecular systems in increasingly large basis sets illustrates the magnitude of these effects.

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1 arXiv paper cite this in 2 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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  • [ref] In the present implementation, the left and right eigenvectors are computed separately, leading to an overall increase of the computational time by a factor of 2.

    An efficient implementation of Slater-Condon rules · Computational cost · 0.84

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