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.
Saiel, Feasibility study of four top quarks in asso- ciation with Gauge Boson at CMS , Master’s thesis, Quaid-I-Azam university (2024)
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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.