Daniel Claudino studies the software development of libraries that enable large-scale quantum-classical heterogeneous computations. In this role, Daniel targets quantum simulations of interest in quantum chemistry.
Vicente Leyton Ortega studies the potential of near-term quantum computing hardware for scientific applications, the performance of quantum and classical algorithms including optimization and machine learning
Ryan Bennink leads the Quantum Computational Science Group in the Quantum Information Science Section.