87 citations · 178 across the 12 of their papers we have counts for
12 papers
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…
Gauge invariance for a class of tree diagrams in the standard model
Tai Tsun Wu, Sau Lan Wu
For gauge theory, the matrix element for any physical process is independent of the gauge used. Since this is a formal statement and examples are known where gauge invariance is vi…
Fermion-boson symmetry and quantum field theory
Sau Lan Wu, Tai Tsun Wu, Chen Zhou
The application of fermion-boson symmetry to the standard model leads to the following: first, there are three generations of scalar quarks and scalar leptons in addition to the kn…
LHC Dark Matter Working Group: Next-generation spin-0 dark matter models
Tomohiro Abe, Yoav Afik, Andreas Albert +50
Dark matter (DM) simplified models are by now commonly used by the ATLAS and CMS Collaborations to interpret searches for missing transverse energy (). The coher…
Normalizing Weak Boson Pair Production at the Large Hadron Collider
J. M. Campbell, E. Castaneda-Miranda, Y. Fang +3
The production of two weak bosons at the Large Hadron Collider will be one of the most important sources of SM backgrounds for final states with multiple leptons. In this paper we…
Feasibility of Searches for a Higgs Boson using H->WW->ll+MET and High PT Jets at the Tevatron
B. Mellado, W. Quayle, Sau Lan Wu
The sensitivity of Standard Model Higgs boson searches at the Tevatron experiments with a mass 135<MH<190 GeV using the channel H->WW->ll+MET (l=e,mu) is discussed. Three new event…