CircuitHunt screens KetGPT circuits with qubit/parameter filters and 5-epoch macro-F1 scoring, selecting circuit #221 (6 qubits, 9 parameters) that reportedly hits 97% accuracy, but SMOTE-before-split inflates the test numbers.
Financial fraud detection: a comparative study of quantum machine learning models,
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CircuitHunt: Automated Quantum Circuit Screening for Superior Credit-Card Fraud Detection
CircuitHunt screens KetGPT circuits with qubit/parameter filters and 5-epoch macro-F1 scoring, selecting circuit #221 (6 qubits, 9 parameters) that reportedly hits 97% accuracy, but SMOTE-before-split inflates the test numbers.