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R&D projects

We are maintaining R&D projects in collaboration with CERN openlab and the Middle East Technical University’s Application and Research Center for Space and Accelerator Technologies (METU IVMER). This collaboration explores the application of quantum-computing algorithms to particle-track reconstruction, as well as to industrial applications, such as the analysis of aviation data.


OUR COLLABORATORS

CERN openlab
METU

R&D RESOURCES

Presentations

TitlePresenterDateEvent / VenueCategoryLink
Embedding of particle tracking data using hybrid quantum classical neural networksCarla Rieger20/05/2021vCHEP 2021, onlineQuantum computingPDF
Video
Hybrid Quantum-Classical Graph Neural Networks for Track ReconstructionCarla Rieger & Cenk Tüysüz26/04/2021QTI Seminar lecture, onlineQuantum computingSLIDES
Hybrid Quantum-Classical Graph Neural Networks for Track ReconstructionCenk Tüysüz22/04/2021KOBIT 21, onlineQuantum computingSLIDES
Video
Hybrid Quantum-Classical Graph
Neural Networks for Track
Reconstruction
Carla Rieger & Cenk Tüysüz11/03/2021CERN openlab Workshop 2021, CERNQuantum computingPDF
Video
Quantum Graph Neural Networks for Track Reconstruction in Particle Physics and BeyondCenk Tüysüz22/10/20204th Inter-experiment Machine Learning WorkshopQuantum computingPDF
Exploring hybrid quantum-classical neural networks for particle tracking Carla Rieger19/10/2020Quantum 2020Quantum computingPDF
Performance of Particle Tracking using a Quantum Graph Neural Network Cenk Tüysüz08/10/20206. Ulusal Yüksek Başarımlı Hesaplama KonferansıQuantum computingVideo
Exploring hybrid quantum-classical neural networks for particle tracking Carla Rieger24/09/2020CERN openlab online summer intern project presentations 2020Quantum computingVideo
Quantum Track Reconstruction Algorithms for non-HEP applicationsKristiane Novotny29/07/2020ICHEP 2020, Prague / onlineQuantum computingPDF
Video
Exploring (Quantum) Track Reconstruction Algorithms for non-HEP applicationsKristiane Novotny21/04/2020CTD 2020, Princeton / onlineQuantum computingPDF
Video
A Quantum Graph Neural Network Approach to Particle Track ReconstructionCenk Tüysüz20/04/2020CTD 2020, Princeton / onlineQuantum computingPDF
Video
A Quantum Graph Neural Network Approach to Particle Track ReconstructionCenk Tüysüz22/01/2020CERN openlab Workshop 2020, CERNQuantum computingPDF
HEP Graph Machine Learning for Industrial & Humanitarian ApplicationsDaniel Dobos26/11/2019HEPTECH AIME19 AI & ML, BudapestQuantum computingEvent
Particle Track Reconstruction with Quantum AlgorithmsFederico Carminati07/11/2019ICHEP 2019, AdelaideQuantum computingEvent

Publications

TitleAuthorPublished onCategoryLink
Particle Track Reconstruction with Quantum AlgorithmsC. Tüysüz et al.18/03/2020Quantum ComputingPDF
A Quantum Graph Neural Network Approach to Particle Track ReconstructionC. Tüysüz et al.14/07/2020Quantum ComputingPDF
Performance of Particle Tracking Using a Quantum Graph Neural NetworkC. Tüysüz et al.02/12/2020Quantum ComputingPDF
Quantum Track Reconstruction Algorithms for
non-HEP applications
K. Novotny et al.06/08/2020Quantum ComputingPDF
Hybrid quantum classical graph neural networks for particle track reconstructionC. Tüysüz et al.28/11/2021Quantum ComputingPDF