Eaton has been awarded a $7 million, 24-month contract from the U.S. Air Force Research Laboratory (AFRL) to apply quantum computing, machine learning and advanced visualization to electric grid security, according to a company statement.

The project will focus on what is known as the contingency problem in electrical grid management — evaluating grid configurations to identify vulnerabilities against multiple, concurrent physical and cyber threats. Current North American Electric Reliability Corporation (NERC) standards require transmission systems to withstand two sequential failures, and this project aims to analyze and prepare for a broader range of simultaneous threat combinations.

Eaton will work with quantum hardware provider Infleqtion and Pennsylvania State University to develop new quantum algorithms and hybrid quantum-classical methods intended to improve detection, visualization and response capabilities on the grid.

"We're facing unprecedented risks to electric reliability and security from extreme weather, wildfires, physical and cyber threats and need tools that consider many failures at once," said Sid Suryanarayanan, senior chief engineer, strategic partnerships and innovation at Eaton. "This AFRL-funded project pairs Eaton's grid expertise with quantum and machine learning methods to bring faster awareness and more actionable control to critical energy systems."

The project scope includes developing new quantum algorithms, optimizing circuits for hybrid computation, conducting experiments across multiple quantum hardware platforms and addressing error correction. Results are to be presented in a proof-of-concept demonstration.

Eaton (NYSE: ETN) reported revenues of $27.4 billion in 2025 and serves customers in 180 countries.