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Quantum Kernel Regression and Variational Quantum Regression for the CCS Prediction of Dissolved Organic Matter: A Comparative Benchmarking Study

Year: 2026

Type: article

Source: Journal of the American Society for Mass Spectrometry

DOI: 10.1021/jasms.6c00135

Authors: Sadollah Ebrahimi, Armand Soldera, Céline Guéguen

Institution: Université de Sherbrooke

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Canada Foundation for Innovation, Canada First Research Excellence Fund, Natural Sciences and Engineering Research Council of Canada, Fisheries and Oceans Canada

OpenAlex ID: W7212145184

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Cites: 40

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