16 citations · 74 across the 13 of their papers we have counts for
3 papers · 1 filter
Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
Zhongtian Dong, Marçal Comajoan Cara, Gopal Ramesh Dahale +8
This paper presents a comprehensive comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNN) and Quantum Neural Networks (QNN), juxtaposed against thei…
A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
Roy T. Forestano, Marçal Comajoan Cara, Gopal Ramesh Dahale +8
Machine learning algorithms are heavily relied on to understand the vast amounts of data from high-energy particle collisions at the CERN Large Hadron Collider (LHC). The data from…
Probing the CP Structure of the Top Quark Yukawa at the Future Muon Collider
Morgan E. Cassidy, Zhongtian Dong, Kyoungchul Kong +3
We study the top-Higgs coupling with a CP violating phase at a future multi-TeV muon collider. We focus on processes that are directly sensitive to the top quark Yukawa couplin…