We have been studying how next generation scalable quantum devices could be used to perform computations that solve specific physics and materials problems. Our work concentrates on augmenting highly successful “Dynamical Mean Field Theory” (DMFT) methods which are widely used for investigating strongly correlated electron systems, and designing quantum materials with novel functionalities.

Over the past year, we have developed a minimal version of a hybrid quantum-classical DMFT scheme that requires only a five-qubit quantum co-processor. The scheme uses a classical feedback loop and is designed to allow seamless integration between classical and quantum parts of the algorithm. It could be implemented in current generation small quantum devices and scales straightforwardly with the size of the quantum device it is running on.