Hybrid Materials Optimization System is an AI and Quantum Computing framework that compares RF, XGBoost, GB, QNN, VQR, and QKR for material property prediction. It uses Newton's Method and QAOA for optimization, ranks high-performance materials, and provides an interactive dashboard for performance comparison and recommendations.
python random-forest quantum-mechanics xgboost quantum-chemistry quantum-algorithms newtons-method gradient-boosting quantum-physics quantum-machine-learning qaoa quantum-simulation quantum-neural-networks pennylane matbench variational-quantum-regressors quantum-kernel-regressors
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Updated
Jun 19, 2026 - Python