A hybrid GNN with a six-qubit circuit and a jet-multiplicity loss is claimed to improve classification of fully hadronic ttttW events over BDT and XGBoost in Monte Carlo, but the reported significance is inconsistent with the stated expected yields.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
hep-ex 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC
A hybrid GNN with a six-qubit circuit and a jet-multiplicity loss is claimed to improve classification of fully hadronic ttttW events over BDT and XGBoost in Monte Carlo, but the reported significance is inconsistent with the stated expected yields.