Leveraging quantum computing to tackle power grid challenges

quantum computing for the power grid
Image: IonQ

The Oak Ridge National Laboratory (ORNL) is collaborating with quantum computing company IonQ to help solve power grid challenges and drive infrastructure improvements.

In the US Department of Energy-funded project, the two organizations intend to explore how quantum computing technology can be used to modernize the power grid.

The project is focused on addressing the challenges of increasing demand and the proliferation of distributed energy resources, with the need for innovative solutions that can address both optimization and security challenges.

In particular, the collaboration is intended to help businesses develop practical quantum hybrid applications that leverage both classical and quantum resources.



“A next-generation power grid requires new operational and planning capabilities so companies can make better decisions about infrastructure investment over several decades to meet the country’s energy goals,” said Suman Debnath, Power Electronics/Power Grid Integration Research Leader at ORNL, who is co-leading the project along with Distinguished Research Scientist Warren Grice.

“This collaboration will enable us to significantly accelerate grid modernization and provides an opportunity to address critical challenges in our energy infrastructure and pave the way for a more sustainable and resilient future.”

IonQ’s work is supported by the GRID-Q project, part of the DOE’s Grid Modernization Initiative, as well as ORNL’s Quantum Computing User Program, which provides access to state-of-the-art quantum computers for testing real-world applications such as control of the power grid.

Ariel Braunstein, SVP of Product and Applications for IonQ, describes quantum computing as a revolutionary leap in problem-solving capabilities.

“Our aim is to leverage quantum technology to drive tangible advancements in grid optimization and security, and through this collaboration, we hope to uncover practical solutions that will significantly enhance our energy infrastructure.”

Originally published in Smart Energy International.

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