UChicago team develops computational framework to accurately predict energy loss in spin defects through internal conversion, advancing quantum sensing applications and revealing underestimated loss pathways in silicon carbide divacancies.

UChicago team develops computational framework to accurately predict energy loss in spin defects through internal conversion, advancing quantum sensing applications and revealing underestimated loss pathways in silicon carbide divacancies.