7 papers
Application of Quantum Machine Learning using the Quantum Kernel Algorithm on High Energy Physics Analysis at the LHC
Sau Lan Wu, Shaojun Sun, Wen Guan +20
Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in High Energy Physics by offering computational speed-ups. In…
A search for the decays of stopped long-lived particles at TeV with the ATLAS detector
ATLAS Collaboration
A search for long-lived particles, which have come to rest within the ATLAS detector, is presented. The subsequent decays of these long-lived particles can produce high-momentum je…
Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits
Sau Lan Wu, Jay Chan, Wen Guan +12
One of the major objectives of the experimental programs at the LHC is the discovery of new physics. This requires the identification of rare signals in immense backgrounds. Using…
Search for displaced leptons in TeV collisions with the ATLAS detector
ATLAS Collaboration
A search for charged leptons with large impact parameters using 139 fb of TeV collision data from the ATLAS detector at the LHC is presented, addressing…
Search for Higgs boson production in association with a high-energy photon via vector-boson fusion with decay into bottom quark pairs at =13 TeV with the ATLAS detector
ATLAS Collaboration
A search is presented for the production of the Standard Model Higgs boson in association with a high-energy photon. With a focus on the vector-boson fusion process and the dominan…
Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in protonproton collisions at TeV with the ATLAS detector
ATLAS Collaboration
A search for heavy resonances decaying into a or boson and a Higgs boson produced in protonproton collisions at the Large Hadron Collider at TeV is prese…