2026
Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction
AAAI 2026technical
The Transformer model, renowned for its powerful attention mechanism, has achieved state-of-the-art performance in various artificial intelligence tasks but faces challenges with quantum data. With a growing focus on leveraging quantum machine learning for quantum data, particularly in quantum chemi