materials science

Daniel Bafia will develop a new measurement approach that uses magnetic vortices to investigate defects and interfaces that can limit the performance of superconducting quantum devices. The project could provide researchers with a new way to understand and ultimately reduce sources of energy loss in quantum materials.

A first-of-its-kind blinded materials characterization study spanning 22 superconducting quantum devices, seven characterization techniques and six leading institutions helps build the scientific foundations of scalable quantum computing.