
The author proposes the Quantum-SMOTE method, utilizing quantum computing techniques to address class imbalance in machine learning datasets. By introducing hyperparameters like rotation angle and minority percentage, the approach offers greater control over synthetic data generation.


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A-Quantum-Approach-to-Synthetic-Minority-Oversampling-Technique-SMOTE-Enhancing-Machine-Learning-with-Quantum-Computing


A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE): Enhancing Machine Learning with Quantum Computing
