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Funded Projects / details

Cofinanciado por:

FCT 
República Portuguesa 

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

Code CERN/FIS-COM/0004/2021

Beneficiary Entity

LIP - Laboratório de Instrumentação e Física Experimental de Partículas


Project summary

...


Support under

Reforçar a investigação, o desenvolvimento tecnológico e a inovação

Region of Intervention

...

 

Funding

Total eligible cost

€ 30,000.00


EU financial support

€ 0.00


Funding LIP

€ 30,000.00


National public financial support

€ 30.00

 

Dates

Approval


Start

2022-02-01


End

2023-08-31

 

Acknowledgements

Versão Extensa: Este trabalho é financiado por fundos nacionais através da FCT - Fundação para a Ciência e a Tecnologia, I.P., no âmbito do projeto CERN/FIS-COM/0004/2021


Versão Resumida: OE,FCT-Portugal, CERN/FIS-PAR/0004/2021



Publications


Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big DatasetsArticle in international journal (with direct contribution from team)published

Presentations


Artificial Intelligence and Machine Learning for Collider and Beyond the Standard Model PhysicsSeminar
CERN and particle physics: challenges and opportunitiesPresentation in national conference
ChatGPT: desafios e oportunidades na ótica da comunicação de ciênciaPresentation in national conference
Machine learning as a tool for high energy physicsSeminar
Machine learning as a tool for particle physics in collider experimentsSeminar
Rare production and decay processes in the top quark sectorOral presentation in international conference

Theses


Anomaly detection as a quality control tool in an industrial context
Application of quantum computing to quantum chromodynamics

Team


Ana Paula Pereira Peixoto
Henrique Manuel Peixoto Carvalho
Maria Gabriela Jordão Oliveira
Maria Inês Abreu Julião Ochoa de Castro
Miguel Caçador Peixoto
Miguel Correia dos Santos Crispim Romão
Nuno Filipe da Silva Fernandes de Castro
Tiago Dias do Vale
Tiago Vieira de Castro Martins Antão