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QML-HEP: Exploring quantum machine learning as a tool for present and future high energy physics colliders

Image: OJB Quantum, CC BY 4.0, via Wikimedia Commons (licence). Cropped and resized. Image credits
  • Fundação para a Ciência e a Tecnologia, I.P. (FCT)
  • 1 Feb 2022 to 31 Aug 2023

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Project funded by Fundação para a Ciência e a Tecnologia, I.P. (FCT) (Concurso de Projetos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito da Colaboração entre Portugal e), grant CERN/FIS-COM/0004/2021. Funded amount: EUR 30,000, as stated by the source. Runs 2022-02-01 to 2023-08-31. Keywords: Quantum Computing, Machine Learning, Data Analysis, Anomaly detection, Exact sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); national funding data, not CORDIS.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Fundação para a Ciência e a Tecnologia, I.P. (FCT). Retrieved 2026-10-22. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The QML-HEP project, funded by Fundação para a Ciência e a Tecnologia, I.P., received EUR 30,000 for research on quantum machine learning in high energy physics. It runs from February 1, 2022, to August 31, 2023, focusing on data analysis and anomaly detection. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.

Source: explore.openaire.eu · checked 22 Oct 2026 · AI-assisted summary