ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and energy.
Using existing experimental and computational resources, a multi-institutional team has developed an effective method for measuring high-dimensional qudits encoded in quantum frequency combs, which are a type of photon source, on a single optical chip.
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.