Infleqtion Selected by Eaton to Explore Quantum Computing for Power Grid Resilience

Insider Brief

• Infleqtion has been selected by Eaton to provide quantum computing technology support for research into improving U.S. electrical grid resilience through an Air Force Research Laboratory-funded program.
• The collaboration will evaluate how quantum algorithms and neutral-atom quantum hardware can support grid contingency analysis and reliability planning.
• Eaton and Infleqtion will explore quantum approaches for analyzing complex power system scenarios, including optimization, circuit performance, error correction, and future scalability.

Press release – Infleqtion, a global leader in quantum computing and quantum sensing powered by neutral-atom technology, announced that Eaton, a global power management company, selected Infleqtion to support new research evaluating how quantum computing can improve the resilience of the U.S. electrical grid. As part of an Eaton award from the Air Force Research Laboratory (ARFL), Infleqtion received a subcontract to apply quantum computing hardware to support grid contingency analysis. Infleqtion and Eaton aim to advance reliability analysis used by utilities to predict and prevent cascading power outages.

“Grid reliability is a large-scale optimization challenge that pushes the limits of today’s classical systems,” said Pranav Gokhale, CTO at Infleqtion. “This program allows us to explore how quantum algorithms and error-corrected quantum hardware could support faster, more accurate analysis of grid vulnerabilities to improve how we evaluate failures, reduce blackout risk, and strengthen critical U.S. infrastructure.”

Contingency analysis is one of the most important tools for determining how power systems respond when key components, such as transmission lines or generators, fail unexpectedly. As power grids become more interconnected and more dependent on real-time data, the number of “what-if” scenarios grow so large that classical computing methods struggle to analyze them efficiently. Classical analysis relies on approximate methods that are often insufficient for robust risk management. This makes contingency analysis an ideal test case for quantum computing, which may evaluate complex combinations more effectively using quantum interference algorithms.

Why Grid Reliability Matters for National Security and the Economy

The U.S. electrical grid is increasingly stressed. Even brief outages can cause cascading disruptions across geographies. As the grid becomes more complex, both commercial utilities and government agencies are accelerating efforts to modernize and harden critical infrastructure. This momentum aligns with the Department of Energy’s recently launched Genesis Mission, a national initiative that uses artificial intelligence and advanced computing to accelerate breakthroughs in energy, including grid modernization, discovery science, and national security.

AFRL’s investment reflects this broader national prioritization of technologies that can identify vulnerabilities earlier, evaluate risks more comprehensively, and reduce blackout impacts. Eaton will lead the program, working to align results with real operational needs across civilian and defense-critical environments.

“This research will enhance infrastructure planning, daily operations, and emergency preparedness—bringing unprecedented awareness and response to strengthen infrastructure,” said Sid Suryanarayanan, senior chief engineer, strategic partnerships and innovation at Eaton. “Working with the ARFL and our program collaborators, including Infleqtion, we aim to understand how quantum performance can support grid reliability and resilience.”

How Quantum Computing May Improve Grid Contingency Analysis

Because grid contingency analysis involves evaluating many different failure scenarios and their downstream effects, it represents one of the earliest mission-critical power-grid applications that could benefit from quantum computing. The program will explore how soon quantum computers may offer advantages at operational scale. Infleqtion will contribute its expertise in:

• Quantum algorithms for combinatorial optimization problems central to power system analysis
• Circuit optimization to reduce resource requirements on quantum hardware
• Error correction techniques aligned with Infleqtion’s roadmap for its Sqale neutral atom quantum computer
• Performance comparison between quantum and classical methods
• Resource estimation and extrapolation to assess future real-world applicability

For more information about Infleqtion’s work in quantum computing for energy, infrastructure, and national security, visit infleqtion.com.