Eaton Wins $7 Million AFRL Contract to Apply Quantum Computing to Grid Security

Eaton, an intelligent power management company, announced on August 6, 2026, it has been awarded a $7 million (€6.1 million), 24-month contract from the U.S. Air Force Research Laboratory (AFRL) to apply quantum computing, machine learning, and advanced visualization techniques to improve resilience and protection of the electric power grid. Developed in partnership with Infleqtion and Pennsylvania State University, the project will advance quantum-enabled algorithms and hybrid quantum-classical methods designed to detect, visualize, and respond to multiple concurrent physical and cyber threats.

Hybrid Quantum Methods for Threat Detection

While grid reliability standards are typically based on N-1 contingency planning, the project explores scenarios involving multiple concurrent failures beyond traditional planning assumptions. The AFRL-funded effort seeks to analyze and prepare for simultaneous physical and cyber threat scenarios. Eaton will address the contingency problem in electrical grid management, which requires evaluating numerous grid configurations to identify potential vulnerabilities.

The company will combine its expertise in intelligent power management with quantum computing capabilities. Project activities include:

Development of new quantum algorithms

Optimization of circuits for hybrid computation

Experiments on available quantum hardware platforms

Techniques for error mitigation and noise-aware optimization

Results are expected to be shared through a proof-of-concept demonstration showing how current quantum hardware, paired with new algorithms and machine learning approaches, can address real-world grid challenges.

Sid Suryanarayanan, senior chief engineer for strategic partnerships and innovation at Eaton, stated the industry faces risks to electric reliability from extreme weather, wildfires, and physical and cyber threats, requiring tools which consider many failures at once. The project pairs Eaton’s grid expertise with quantum and machine learning methods to deliver faster awareness and more actionable control for critical energy systems.

Infrastructure Resilience Through Collaboration

Eaton research will integrate specialized quantum hardware from Infleqtion with advanced machine learning algorithms and artificial intelligence supported by Pennsylvania State University. The resulting solutions are intended to enhance infrastructure planning, daily operations, and emergency preparedness.

Dr. Christopher A. Herbst, vice president of strategic partnerships and innovation at Eaton, noted the research will bring greater awareness, anticipation, and response capabilities to strengthen critical infrastructure. The work is consistent with AFRL’s broader interest in applying quantum information science to national security challenges related to command, control, communications, and intelligence.

Bottom Line

Eaton’s AFRL contract advances hybrid quantum-classical methods to strengthen detection of concurrent threats across the electric grid.

Find out more here.

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