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CERN Document Server 780 notices trouvées  1 - 10suivantfin  aller vers la notice: La recherche a duré 0.67 secondes. 
1.
Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries in Deep-Inelastic Scattering at HERA / H1 Collaboration
In deep-inelastic positron-proton scattering, the lepton-jet azimuthal angular asymmetry is measured using data collected with the H1 detector at HERA. [...]
arXiv:2412.14092 ; DESY24-200.
- 15.
Fulltext
2.
Enhanced feature encoding and classification on distributed quantum hardware / Moretti, Roberto (Milan Bicocca U. ; INFN, Milan Bicocca) ; Giachero, Andrea (Milan Bicocca U. ; INFN, Milan Bicocca) ; Radescu, Voica (Unlisted) ; Grossi, Michele (CERN)
The steady progress of quantum hardware is motivating the search for novel quantum algorithm optimization strategies for near-term, real-world applications. [...]
arXiv:2412.01664.
- 25.
Fulltext
3.
Observation and differential cross section measurement of neutral current DIS events with an empty hemisphere in the Breit frame / H1 Collaboration
The Breit frame provides a natural frame to analyze lepton-proton scattering events. In this reference frame, the parton model hard interactions between a quark and an exchanged boson defines the coordinate system such that the struck quark is back-scattered along the virtual photon momentum direction. [...]
arXiv:2403.08982; DESY-24-034.- 2024-07-22 - 13 p. - Published in : Eur. Phys. J. C 84 (2024) 720 Fulltext: 2403.08982 - PDF; document - PDF;
4.
Measurement of groomed event shape observables in deep-inelastic electron-proton scattering at HERA / H1 Collaboration
The H1 Collaboration at HERA reports the first measurement of groomed event shape observables in deep inelastic electron-proton scattering (DIS) at $\sqrt{s}=319$ GeV, using data recorded between the years 2003 and 2007 with an integrated luminosity of $351$ pb$^{-1}$. Event shapes provide incisive probes of perturbative and non-perturbative QCD. [...]
arXiv:2403.10134; DESY-24-036.- 2024-07-22 - 32 p. - Published in : Eur. Phys. J. C 84 (2024) 718 Fulltext: 2403.10134 - PDF; document - PDF;
5.
Measurement of the 1-jettiness event shape observable in deep-inelastic electron-proton scattering at HERA / H1 Collaboration
The H1 Collaboration reports the first measurement of the 1-jettiness event shape observable $\tau_1^b$ in neutral-current deep-inelastic electron-proton scattering (DIS). The observable $\tau_1^b$ is equivalent to a thrust observable defined in the Breit frame. [...]
arXiv:2403.10109; DESY-24-035.- 2024-08-07 - 45 p. - Published in : Eur. Phys. J. C 84 (2024) 785 Fulltext: 2403.10109 - PDF; document - PDF;
6.
Quantum Computing for High-Energy Physics : State of the Art and Challenges / Di Meglio, Alberto (CERN) ; Jansen, Karl (DESY, Zeuthen ; Cyprus Inst.) ; Tavernelli, Ivano (IBM, Zurich) ; Alexandrou, Constantia (Cyprus U. ; Cyprus Inst.) ; Arunachalam, Srinivasan (IBM Watson Res. Ctr.) ; Bauer, Christian W. (LBNL, Berkeley) ; Borras, Kerstin (DESY ; Aachen, Tech. Hochsch.) ; Carrazza, Stefano (Milan U. ; CERN) ; Crippa, Arianna (DESY, Zeuthen ; Humboldt U., Berlin) ; Croft, Vincent (U. Leiden (main)) et al.
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage, namely a significant (in some cases exponential) speed-up of numerical simulations. The rapid development of hardware devices with various realizations of qubits enables the execution of small scale but representative applications on quantum computers. [...]
arXiv:2307.03236; FERMILAB-PUB-23-468-ETD.- 2024-08-01 - 49 p. - Published in : PRX Quantum 5 (2024) 037001 Fulltext: 2307.03236 - PDF; FERMILAB-PUB-23-468-ETD - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
7.
Unbinned deep learning jet substructure measurement in high Q2ep collisions at HERA / H1 Collaboration
The radiation pattern within high energy quark- and gluon-initiated jets (jet substructure) is used extensively as a precision probe of the strong force as well as an environment for optimizing event generators with numerous applications in high energy particle and nuclear physics. Looking at electron-proton collisions is of particular interest as many of the complications present at hadron colliders are absent. [...]
arXiv:2303.13620; DESY-23-034.- 2023-07-31 - 25 p. - Published in : Phys. Lett. B 844 (2023) 138101 Fulltext: PDF;
8.
Mixed Quantum–Classical Method for Fraud Detection With Quantum Feature Selection / Grossi, Michele (CERN) ; Ibrahim, Noelle (IBM, Zurich) ; Radescu, Voica (IBM, Zurich) ; Loredo, Robert (IBM, Zurich) ; Voigt, Kirsten (Unlisted, DE) ; Von Altrock, Constantin (Unlisted, DE) ; Rudnik, Andreas (Unlisted, DE)
This paper presents a first end-to-end application of a Quantum Support Vector Machine (QSVM) algorithm for a classification problem in the financial payment industry using the IBM Safer Payments and IBM Quantum Computers via the Qiskit software stack. Based on real card payment data, a thorough comparison is performed to assess the complementary impact brought in by the current state-of-the-art Quantum Machine Learning algorithms with respect to the Classical Approach. [...]
arXiv:2208.07963.- 2022 - 11 p. - Published in : IEEE Trans. Quantum Eng. 3 (2022) 1-12 Fulltext: Publication - PDF; 2208.07963 - PDF;
9.
Impact of jet-production data on the next-to-next-to-leading-order determination of HERAPDF2.0 parton distributions / H1 Collaboration
The HERAPDF2.0 ensemble of parton distribution functions (PDFs) was introduced in 2015. The final stage is presented, a next-to-next-to-leading-order (NNLO) analysis of the HERA data on inclusive deep inelastic $ep$ scattering together with jet data as published by the H1 and ZEUS collaborations. [...]
arXiv:2112.01120; DESY-21-206.- 2022-03-21 - 43 p. - Published in : Eur. Phys. J. C 82 (2022) 243 Fulltext: 2112.01120 - PDF; document - PDF;
10.
Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding / H1 Collaboration
The first measurement of lepton-jet momentum imbalance and azimuthal correlation in lepton-proton scattering at high momentum transfer is presented. These data, taken with the H1 detector at HERA, are corrected for detector effects using an unbinned machine learning algorithm OmniFold, which considers eight observables simultaneously in this first application. [...]
arXiv:2108.12376; DESY 21-130.- 2022-03-31 - 17 p. - Published in : Phys. Rev. Lett. 128 (2022) 132002 Fulltext: PDF;

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2 RADESCU, Voica Ana Maria
107 Radescu, V.
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1 Radescu, Voica A
2 Radescu, Voica Ana Maria
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