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1.
Guided quantum compression for high dimensional data classification / Belis, Vasilis (Zurich, ETH) ; Odagiu, Patrick (Zurich, ETH) ; Grossi, Michele (CERN) ; Reiter, Florentin (Zurich, ETH) ; Dissertori, Günther (Zurich, ETH) ; Vallecorsa, Sofia (CERN)
Quantum machine learning provides a fundamentally different approach to analyzing data. However, many interesting datasets are too complex for currently available quantum computers. [...]
arXiv:2402.09524.- 2024-07-16 - 11 p. - Published in : Mach. Learn. Sci. Tech. 5 (2024) 035010 Fulltext: document - PDF; 2402.09524 - PDF;
2.
Ultrafast jet classification at the HL-LHC / Odagiu, Patrick (ETH, Zurich (main)) ; Que, Zhiqiang (Imperial Coll., London) ; Duarte, Javier (UC, San Diego) ; Haller, Johannes (Hamburg U.) ; Kasieczka, Gregor (Hamburg U.) ; Lobanov, Artur (Hamburg U.) ; Loncar, Vladimir (MIT ; Belgrade, Inst. Phys.) ; Luk, Wayne (Imperial Coll., London) ; Ngadiuba, Jennifer (Fermilab) ; Pierini, Maurizio (CERN) et al.
Three machine learning models are used to perform jet origin classification. These models are optimized for deployment on a field-programmable gate array device. [...]
arXiv:2402.01876; FERMILAB-PUB-24-0030-CMS-CSAID-PPD.- 2024-07-18 - 10 p. - Published in : Mach. Learn. Sci. Tech. 5 (2024) 035017 Fulltext: 2402.01876 - PDF; Publication - PDF; FERMILAB-PUB-24-0030-CMS-CSAID-PPD - PDF; External link: Fermilab Accepted Manuscript
3.
Searching for ALPs in light-by-light scattering in pp collisions using AFP proton tagging with the ATLAS detector / Odagiu, Denis-Patrick
The search for an Axion-Like-Particle (ALP) is being performed using 30fb−1 data recorded with the ATLAS experiment and the ATLAS Forward Proton (AFP) detector in 2017. [...]
CERN-STUDENTS-Note-2019-225.
- 2019
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2 Odagiu, P.
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