Insider Brief
Eaton received a $7 million, 24-month AFRL contract to develop quantum computing, machine learning, and visualization methods for improving electric grid resilience.
The project with Infleqtion and Penn State will focus on quantum-enabled algorithms and hybrid quantum-classical approaches to analyze multiple concurrent grid threats.
Eaton plans to demonstrate how current quantum hardware, optimized algorithms, and machine learning techniques can support power infrastructure planning and emergency response.
Press release – Intelligent power management company Eaton today announced it was 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 improve resilience and protection at the power grid. The effort will advance new quantum-enabled algorithms and hybrid quantum‑classical methods, developed with partners Infleqtion and Penn State, to help better detect, visualize and respond to multiple, concurrent physical and cyber threats on the grid.
