Quantum Enhanced Multimodality Enzyme Dataset

We present a multimodal Quantum Vision Transformer that integrates sequence, structural, image, and quantum descriptors to enhance enzyme classification. Our model achieves 85.1% accuracy and demonstrates the complementary value of each biochemical modality, establishing a quantum-enhanced framework for robust and interpretable enzyme function prediction.