Evidence map›Paper›PMID 40576395›Full record

ArticleThe journal of physical chemistry. A2025

Exploring Quantum Computing for Metal Cluster Analysis.

Nia Pollard, A'Laura C Hines, Andre Z Clayborne

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. BenchQC: A Benchmarking Toolkit for Quantum Computation.Journal of computational chemistry · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nia PollardDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia 22030, United States.ORCID 0000-0001-6871-1202
A'Laura C HinesDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia 22030, United States.
Andre Z ClayborneDepartment of Chemistry and Biochemistry, George Mason University, Fairfax, Virginia 22030, United States.ORCID 0000-0002-0574-0847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the application of quantum computing to metal cluster analysis through the development and implementation of a quantum-DFT embedding workflow. Classical computational methods, while transformative, often face limitations in achieving chemical accuracy and computational efficiency, particularly for nanoscale systems. To address these challenges, we integrate the Variational Quantum Eigensolver (VQE) with density functional theory (DFT), leveraging the capabilities of quantum computing aiming to improve the modeling of electronic structures. Aluminum and gold clusters were used as model systems to test the established workflow. The workflow successfully determined electronic properties for aluminum clusters up to Al

Identifiers

PMID40576395
PMCPMC12257506

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.