Quantum-Classical Hybrid Architectures for Materials Discovery
2025 • Nature Quantum Technology
• Quantum machine learning, hybrid computing
This research presents novel hybrid quantum-classical frameworks that significantly accelerate materials discovery processes. The methodology combines quantum advantage in sampling complex molecular states with classical machine learning techniques for pattern recognition, achieving 70% faster discovery rates in benchmark datasets.
