An auto-initializing algorithm to determine electronic ground states from random Slater determinants

Abstract Accurate quantum many-body calculations often depend on reliable reference states or good human-designed ansätze, yet such knowledge can become unreliable in hard problems like strongly correlated systems. Here we show that high-accuracy many-body ground states can be discovered directly from random Slater determinants. We introduce the Trimmed Configuration Interaction (TrimCI) method, which self-refines by iteratively expanding and trimming configurations in the variational space. TrimCI matches state-of-the-art accuracy using orders of magnitude fewer determinants and computer time: 10 6 -fold fewer than a recent quantum computing calculation on an iron-sulfur cluster, 10 5 -fold fewer than a leading classical method on a larger iron-sulfur cluster in nitrogenase, and over 99% of the ground-state energy of a strongly correlated lattice system from 10 −28 of its Hilbert space, exceeding quantum Monte Carlo accuracy by orders of magnitude in some regimes. TrimCI thus provides an auto-initializing, accurate and highly efficient framework for quantum many-body systems, whose compact explicit wavefunctions enable direct and rapid evaluation of observables.

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Publication Details

Journal
Nature Communications
Published
2026-09-29
DOI
https://doi.org/10.1038/s41467-026-77968-1
Primary Topic
Iron-based superconductors research
Type
article
Field-Weighted Citation Impact
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article

An auto-initializing algorithm to determine electronic ground states from random Slater determinants

Matthew Otten, Hao Zhang
Nature Communications
Iron-based superconductors research
article

An auto-initializing algorithm to determine electronic ground states from random Slater determinants

Matthew Otten, Hao Zhang
article en

Abstract

Abstract Accurate quantum many-body calculations often depend on reliable reference states or good human-designed ansätze, yet such knowledge can become unreliable in hard problems like strongly correlated systems. Here we show that high-accuracy many-body ground states can be discovered directly from random Slater determinants. We introduce the Trimmed Configuration Interaction (TrimCI) method, which self-refines by iteratively expanding and trimming configurations in the variational space. TrimCI matches state-of-the-art accuracy using orders of magnitude fewer determinants and computer time: 10 6 -fold fewer than a recent quantum computing calculation on an iron-sulfur cluster, 10 5 -fold fewer than a leading classical method on a larger iron-sulfur cluster in nitrogenase, and over 99% of the ground-state energy of a strongly correlated lattice system from 10 −28 of its Hilbert space, exceeding quantum Monte Carlo accuracy by orders of magnitude in some regimes. TrimCI thus provides an auto-initializing, accurate and highly efficient framework for quantum many-body systems, whose compact explicit wavefunctions enable direct and rapid evaluation of observables.

Nature Communications
University of Wisconsin–Madison (US)
Openalex Percentile: Top 30%
Iron-based superconductors research
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An auto-initializing algorithm to determine electronic ground states from random Slater determinants — Matthew Otten, Hao Zhang · Nature Communications (2026) | TGRS Research Map | TGRS