Energy
Quantum Computing

Quantum Research Targets Grid Resilience

Context

Grid contingency analysis requires utilities to evaluate a growing number of failure scenarios. Classical methods can struggle as power systems become more interconnected and data dependent.

Overview

Eaton selected Infleqtion for a multi-year research program applying quantum computing hardware to grid contingency analysis under an Air Force Research Laboratory award.

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A power line structure illuminated in glowing blue light.

Key Problem

Utilities need to identify vulnerabilities earlier and assess cascading failures more comprehensively to improve planning, daily operations, and emergency preparedness.

Multi-yr

Research program
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Areas of Infleqtion expertise applied

A Critical Grid Test

The program will explore whether quantum computing can evaluate complex combinations of component failures and downstream grid effects at operational scale.

Full Research Scope

Algorithms - Combinatorial optimization for power systems.
Circuits - Optimization to reduce hardware resources.
Error correction - Techniques aligned with Sqale.
Benchmarking - Quantum and classical comparisons.
Planning - Resource estimates for future use.

Key Results and Findings

Infleqtion received a subcontract from Eaton to support research on quantum computing for grid contingency analysis. The program is designed to compare methods and assess when quantum systems may offer operational advantages.

Implications

The research connects quantum computing development to a practical infrastructure problem: reducing blackout risk by evaluating failures and their consequences more effectively.