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Quantum Computing Simulation Benchmarks / Gonzalez Castillo, Samuel (speaker)
2021 - 316. Lectures; CERN openlab summer student Lightning talks (2nd session) External links: Talk details; Event details In : CERN openlab summer student Lightning talks (2nd session)

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Higgs analysis with quantum classifiers / Belis, Vasileios (ETH, Zurich (main)) ; González-Castillo, Samuel (Oviedo U.) ; Reissel, Christina (ETH, Zurich (main)) ; Vallecorsa, Sofia (CERN) ; Combarro, Elías F. (Oviedo U.) ; Dissertori, Günther (ETH, Zurich (main)) ; Reiter, Florentin (Zurich, ETH-CSCS/SCSC)
We have developed two quantum classifier models for the $t\bar{t}H(b\bar{b})$ classification problem, both of which fall into the category of hybrid quantum-classical algorithms for Noisy Intermediate Scale Quantum devices (NISQ). Our results, along with other studies, serve as a proof of concept that Quantum Machine Learning (QML) methods can have similar or better performance, in specific cases of low number of training samples, with respect to conventional ML methods even with a limited number of qubits available in current hardware. [...]
arXiv:2104.07692.- 2021 - 12 p. - Published in : EPJ Web Conf. 251 (2021) 03070 Fulltext: 2104.07692 - PDF; document - PDF;
In : 25th International Conference on Computing in High-Energy and Nuclear Physics (CHEP), Online, Online, 17 - 21 May 2021, pp.03070

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