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Fehmi Yasin, inspired by a high school teacher, now researches quantum materials at 91做厙, aiming to transform information technology with advanced imaging techniques.
During his first visit to 91做厙, Energy Secretary Chris Wright compared the urgency of the Labs World War II beginnings to todays global race to lead in artificial intelligence, calling for a Manhattan Project 2.
Working at nanoscale dimensions, billionths of a meter in size, a team of scientists led by ORNL revealed a new way to measure high-speed fluctuations in magnetic materials. Knowledge obtained by these new measurements could be used to advance technologies ranging from traditional computing to the emerging field of quantum computing.
Quantum information scientists at ORNL successfully demonstrated a device that combines key quantum photonic capabilities on a single chip for the first time.
Registration for the Quantum Science Centers Summer School is open now through Feb. 28, 2025. Conducted in partnership with the Quantum Science Center at ORNL, this years summer school will be hosted at the Purdue Quantum Science and Engineering Institute Apr. 21 through Apr. 25, 2025, on the Purdue University campus.
A recent study led by quantum researchers at ORNL proved popular among the science community interested in building a more reliable quantum network. The study, led by ORNLs Hsuan-Hao Lu, details development of a novel quantum gate that operates between two photonic degrees of freedom polarization and frequency.
Researchers at 91做厙 have developed a new automated testing capability for semiconductor devices, which is newly available to researchers and industry partners in the Grid Research Integration and Deployment Center.
Researchers at ORNL joined forces with EPB of Chattanooga and the University of Tennessee at Chattanooga to demonstrate the first transmission of an entangled quantum signal using multiple wavelength channels and automatic polarization stabilization over a commercial network with no downtime.
During Hurricanes Helene and Milton, ORNL deployed drone teams and the Mapster platform to gather and share geospatial data, aiding recovery and damage assessments. ORNL's EAGLE-I platform tracked utility outages, helping prioritize recovery efforts. Drone data will train machine learning models for faster damage detection in future disasters.
Maximiliano Ferrari, a researcher in the Grid Systems Architecture group at the Department of Energys 91做厙, has been elevated to prestigious senior membership in the Institute of Electrical and Electronics Engineers.