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ORNL scientists estimated quantum computing energy usage from a detailed modeling technique. In a study, the team found that quantum computers could reduce energy usage by more than 20 orders of magnitude compared to conventional computers.
New research from Oak Ridge National Laboratory indicates that quantum computers will use dramatically less energy than current supercomputers, which could lead to cost savings for computing equipment manufacturers and data centers. “High-performance computers with thousands of pr...
A senior research scientist at Oak Ridge National Laboratory, Olufemi “Femi” Omitaomu is leveraging Big Data for urban resilience. Image credit: Oak Ridge National Laboratory, U.S. Dept. of Energy; photographer Jason Richards.

At the Department of Energy’s Oak Ridge National Laboratory, Olufemi “Femi” Omitaomu is leveraging Big Data for urban resilience, helping growing cities support future infrastructure and resource needs. A senior research scientist for ORNL’s Computational Sciences and Engineeri...

An example of a spiking neural network shows how data can be classified using the neuromorphic device. Credit: Catherine Schuman and Margaret Drouhard/Oak Ridge National Laboratory, U.S. Dept. of Energy
For smarter data management and analysis, researchers have developed a low-power neuromorphic device based on spiking neural networks that can quickly and more efficiently analyze and classify data.