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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.
Building on her earlier work with quantum amplifiers for a leading dark matter experiment, Rakshya Khatiwada will use a four-qubit entangled system to test whether it offers a sensing advantage when exposed to a simulated dark matter signal. The project, based at Fermilab, could open the door to detecting dark matter candidates such as axions and dark photons.
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.
Quantum computing is becoming a revolutionary tool for scientific discovery.
Tyler Barrett, Charis-Kleio Koraka, Kevin Kelly and Silvia Zorzetti are the recipients of the 2026 URA Honorary Awards. The awards are presented each year by Universities Research Association to recognize significant contributions to research at Fermilab.
Fermilab’s recent reorganization brings its accelerator, physics and technology programs under three unified directorates, each charged with advancing the laboratory’s most important scientific priorities. Together, these directorates form a coordinated leadership structure designed to deliver world class research and guide Fermilab’s future.
In a project selected for funding by the Department of Energy’s Genesis Mission, Fermi National Accelerator Laboratory and partners from other national laboratories, universities and industry will apply artificial intelligence and machine learning to enable precise and adaptive resonance control in particle accelerators. Their work aims to lower operating costs by millions of dollars each year and improve accelerator performance, driving scientific discovery.
Fermilab recently hosted over 500 physicists for the American Physical Society’s biennial Division of Particles and Fields meeting. With presentations by Fermilab Director Norbert Holtkamp and CERN Director-General Mark Thomson, the meeting provided particle physicists the opportunity to come together and consider the future of high-energy physics research.
DUNE is pioneering the future of neutrino research by integrating artificial intelligence into its experiment, drawing on decades of machine learning work at Fermilab.
A prototype for the world’s biggest neutrino experiment is running under extreme conditions to see how well the technology performs under pressure.