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

$7 Million Award: Eaton receives a 24-month contract from the U.S.

Air Force Research Laboratory to integrate quantum computing into power grid resilience tools.Contingency Focus: The work targets evaluation of concurrent physical and cyber threats beyond traditional N-1 contingency planning assumptions using hybrid quantum-classical methods.Partner Ecosystem: Infleqtion supplies specialized quantum hardware while Pennsylvania State University supports machine learning and AI components for a planned proof-of-concept demonstration.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.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 algorithmsOptimization of circuits for hybrid computationExperiments on available quantum hardware platformsTechniques for error mitigation and noise-aware optimizationResults 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.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.Eaton’s AFRL contract advances hybrid quantum-classical methods to strengthen detection of concurrent threats across the electric grid.Find out more here.—Further articles, reports, and the latest quantum computing news may be found at The Qubit Report.SAXON Q has opened commercial orders for its SXQ128 and SXQ512 quantum computers, listed with aggregate qubit counts of 128 and 512. The company describes The Jordan Today Center for Development and Asfar Consulting held the first dedicated national Jordan Quantum Computing Technology Forum on August 5, 2026, in Amman. D-Wave Quantum Inc. has published peer-reviewed research in Nature demonstrating a high-fidelity two-qubit entangling gate for its superconducting dual-rail architecture. The gate achieves approximately 99.9% Sign up to receive our newsletter and other reports.We keep your data private and share your data only with third parties that make this service possible. Read our privacy policy for more info.Check your inbox or spam folder to confirm your subscription. Our MissionContact UsPrivacy PolicyWebsite Terms of UseCopyright 2017-2026 | The Qubit Report | All Rights Reserved