Eaton has secured a $7 million, 24-month contract from the U.S. Air Force Research Laboratory. This project aims to apply quantum computing and machine learning to improve the resilience of the electric grid. Working alongside Infleqtion and Pennsylvania State University, the team will develop new algorithms to better identify and respond to simultaneous physical and cyber threats.
Traditional grid management currently follows N-2 standards, which focus on surviving two sequential failures. Modern threats involve complex, unpredictable combinations of events that require faster computational analysis. By combining its experience in power management with quantum hardware, Eaton plans to address the contingency problem by evaluating more configurations than standard systems currently allow.
The research includes testing new quantum algorithms and hybrid quantum-classical methods. These techniques will support grid planning, daily operations, and emergency response efforts. The end goal is a proof-of-concept demonstration that shows how quantum hardware can mitigate real-world vulnerabilities.
This partnership represents a step toward securing critical energy infrastructure against evolving risks such as extreme weather and cyberattacks. Through this AFRL-funded work, Eaton aims to bring higher levels of awareness to power systems, ensuring a more reliable supply during high-stakes situations.