aiqbench analysis
This Fermilab-led study establishes a critical link between atomic-level material defects and the performance variations observed in superconducting qubits. By employing a blinded methodology across multiple institutions, researchers have provided an unbiased roadmap for controlling matter at the necessary scale to build reliable quantum technologies. The findings offer a scientifically grounded approach to diagnosing device behavior based on specific surface and interface characteristics.
Fermilab-led study maps qubit defects to device performance

A study of 22 superconducting qubits links material structures, including surfaces and interfaces, to variations in quantum device performance.
Image: SQMS Center, Fermilab · news.fnal.gov Researchers from the Fermi National Accelerator Laboratory-led SQMS Center have linked the surfaces, interfaces and geometries of qubit materials directly to variations in device performance through a study of 22 superconducting quantum devices. The unusually large collaboration, spanning six institutions and seven characterization techniques, employed a blinded methodology, analyzing materials without knowing which device performed how, to ensure unbiased results. “Advancing quantum information science is fundamentally tied to our ability to control matter at the atomic level,” according to Bindu Nair, associate director of Basic Energy Science at the U.S. Department of Energy. This research provides a scientifically grounded guide to material defects, essential for building reliable quantum technologies. Researchers pinpointed correlations between specific material characteristics and qubit performance through a uniquely unbiased approach, analyzing 22 superconducting quantum devices without prior knowledge of their individual functionalities. The team employed a non-destructive initial assessment phase, using multiple characterization methods to identify features before deploying more invasive techniques, a strategy allowing for an objective decision-making process in linking defects to performance variations. This methodology, rarely seen in qubit research, helped establish reliable connections between material flaws and device behavior. Akshay Murthy, SQMS Center deputy director and…
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