A variational quantum perceptron with Grover’s algorithm for efficient classification
Nouhaila Innan,
Mohamed Bennai
Abstract:This study introduces the Quantum Variational Perceptron with Grover's Algorithm (QVP-G), an innovative Quantum Machine Learning (QML) model significantly enhancing binary classification tasks' capabilities. The study goes beyond theoretical constructs, employing empirical evaluations of QVP-G on the well-established Iris and more complex breast cancer datasets. This dual-dataset approach highlights the model's adaptability and effectiveness in varied contexts.
Our experimental findings reveal the exce… Show more
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