Session

Boosted-object tagging

Jul 14, 2026, 9:00 AM

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  1. Osama Karkout (Nikhef National institute for subatomic physics (NL))
    7/14/26, 9:00 AM
    Talk

    The identification of Higgs bosons with high transverse momenta is essential for the Higgs-boson research programme at the LHC, reaching across cross-section measurements in high transverse momentum regimes, Higgs-boson pair production searches, and searches for new heavy resonances. We present recent advances in Higgs-boson identification algorithms for cases where the Higgs-boson decay...

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  2. Congqiao Li (Peking University (CN))
    7/14/26, 9:20 AM
    1
    Talk

    This talk summarizes recent progress in boosted object tagging in the CMS experiment, focusing on developments targeting Run 3 analyses. Updates to deep learning–based taggers are presented, including improvements in training strategies, input representations, and robustness to pileup and detector effects. Advances in calibration and systematic uncertainty evaluation are discussed, with...

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  3. Donato Troiano (Universita e INFN, Bari (IT))
    7/14/26, 9:40 AM
    Talk
  4. Tommaso Tedeschi (Universita e INFN, Perugia (IT))
    7/14/26, 10:00 AM
    Talk

    The application of quantum algorithms to jet substructure analysis is of growing interest as Noisy Intermediate-Scale Quantum (NISQ) hardware continues to mature in qubit count and gate depth. Jet substructure remains essential for addressing challenges at the LHC and beyond, notably object classification and polarization tagging. However, existing quantum machine learning approaches typically...

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