3 papers
quant-ph2021
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…
physics.gen-ph2018
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…
hep-ex2018
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…