Powered by Indico
v3.2.3
Abstract:
The ATLAS and CMS experiments at the LHC perform measurements of Higgs boson properties to provide stringent test of the Standard Model and look for new physics beyond the Standard Model. This seminar will discuss recent Higgs measurement results (including Higgs couplings to fermions and Higgs self-couplings) from the LHC experiments.
Furthermore, quantum machine learning could possibly become another powerful tool for high energy physics. This seminar will also discuss recent proof-of-principle studies that apply quantum machine learning to Higgs physics analyses on quantum computer simulators and hardware.
Biography:
Chen Zhou received his Bachelor degree from the physics school at Peking University in 2010 and his PhD degree from the physics department at Duke University in 2016. From June 2016 to September 2021, he was a postdoctoral research associate and an assistant scientist in the physics department at University of Wisconsin, working on the ATLAS experiment. He made contributions to ATLAS physics analyses (including ttH production, Higgs->di-muon decay, Higgs coupling properties, di-Higgs production, Dark Matter and high-mass resonance), ATLAS phase II inner tracker upgrade, and application of quantum machine learning to high energy physics analysis. He was a convener of the ATLAS Higgs-Gamma sub-group.
Chen Zhou joined the CMS group at Peking University as an assistant professor in October 2021. He is conducting Higgs physics research and searches for dark matter with the CMS experiment, participating in the muon detector upgrades of the CMS experiment, and exploring applications of quantum computing in high energy physics research.