Quantum Neural Network Tuning and Performance Evaluation for a Breast Cancer Dataset

2025-10-09 health informatics Title + abstract only

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Model tuning with the optimization of pipeline configuration is a well-established practice for the development of machine learning models. However, this often entails an exhaustive search process, especially as the parameter space expands with increasing model complexity. In the emerging field of quantum machine learning (QML), there is limited literature on the effects of configuration parameters, especially quantum-specific ones, and their choices on model performance. To address this gap, he...

Quantum Neural Network Tuning and Performance Evaluation for a Breast Cancer Dataset

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