Victor S. Batista

Researchers combine quantum computing and chemistry to improve drug discovery processes.

Researchers develop a new approach utilizing quantum devices to compute excited states efficiently.

New quantum devices enhance the study of chemical dynamics and proton transfer.

This study reveals new findings on tunneling processes in asymmetric double-well systems.

Quantum machine learning merges quantum computing and drug discovery for efficient solutions.

A new model revolutionizes how scientists predict protein-ligand interactions for drug development.