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most citedSearches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks

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quant-ph2025

Generalized Quantum Hadamard Test for Machine Learning

Vivek Mehta, Arghya Choudhury, Utpal Roy

Quantum machine learning models are designed for performing learning tasks. Some quantum classifier models are proposed to assign classes of inputs based on fidelity measurements.…