A correlation-guided hybrid quantum-classical model using QAOA achieves 84.6% accuracy on crime pattern classification with reduced trainable parameters compared to classical machine learning baselines.
An application for risk of crime prediction using machine learning.International Journal of Computer and Systems Engineering, 15(2):166–174, 2021
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Domain-Aware Hybrid Quantum Learning via Correlation-Guided Circuit Design for Crime Pattern Analytics
A correlation-guided hybrid quantum-classical model using QAOA achieves 84.6% accuracy on crime pattern classification with reduced trainable parameters compared to classical machine learning baselines.