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Researchers at ORNL tested a quantum computing approach to an old challenge: solving canonical fluid dynamics problems. The study relied on support from the Quantum Computing User Program, part of ORNL’s Oak Ridge Leadership Computing Facility. The results highlight avenues for further study of quantum computing’s potential to aid scientific discovery.

During his first visit to 91����, Energy Secretary Chris Wright compared the urgency of the Lab’s World War II beginnings to today’s 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.

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 ORNL’s Hsuan-Hao Lu, details development of a novel quantum gate that operates between two photonic degrees of freedom — polarization and frequency. 

Researchers at 91���� 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 Energy’s 91����, has been elevated to prestigious senior membership in the Institute of Electrical and Electronics Engineers. 

The National Center for Computational Sciences, located at the Department of Energy’s 91����, made a strong showing at computing conferences this fall. Staff from across the center participated in numerous workshops and invited speaking engagements.