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Quantum convolutional neural networks for jet images classification

Autor: Elhag, Hala, Jansen, Karl, Nagano, Lento, Di Tucci, Alice

Recently, interest in quantum computing has significantly increased, driven by its potential advantages over classical techniques. Quantum machine learning (QML) exemplifies one of the important quantum computing applications that are expected to sur

Externí odkaz: http://arxiv.org/abs/2408.08701

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Asymptotic entanglement sudden death in two atoms with dipole-dipole and Ising interactions coupled to a radiation field at non-zero detuning

Autor: Sadiek, Gehad, Al-Drees, Wiam, Shaglel, Salwa, Elhag, Hala

We investigate the time evolution and asymptotic behavior of a system of two two-level atoms (qubits) interacting off-resonance with a single mode radiation field. The two atoms are coupled to each other through dipole-dipole as well as Ising interac

Externí odkaz: http://arxiv.org/abs/2105.05694

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Tagging of Leptonically Decaying Boosted Top Quarks Using Machine Learning

Autor: Elhag, Hala Siddig Mohamed

Masterarbeit, Universität Hamburg, 2022; Hamburg : Verlag Deutsches Elektronen-Synchrotron DESY, DESY-THESIS 72 pp. (2022). = Masterarbeit, Universität Hamburg, 2022
The study of boosted top quarks is very important for probing a wide variety

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::493e665899ab2c5a2b412ebc4ce5c8f8

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