Insider Brief
- Infleqtion has secured $6.2 million in ARPA-E funding to develop quantum-enhanced solutions for optimizing energy grids, marking the first-ever quantum technology award from the agency.
- The company’s ENCODE project, in collaboration with Argonne National Laboratory, EPRI, and NREL, aims to integrate quantum computing into power grid optimization to improve efficiency and cost-effectiveness.
- By leveraging quantum algorithms, Infleqtion seeks to enhance solution accuracy and speed for grid management, potentially reducing operational costs and supporting a more sustainable energy infrastructure.
PRESS RELEASE — Infleqtion, a global leader in quantum information technologies, has been awarded $6.2 million in funding from the U.S. Department of Energy’s (DOE) Advanced Research Projects Agency-Energy (ARPA-E) to develop quantum-enhanced solutions for energy grid optimization. This marks the first-ever quantum technology award granted by ARPA-E and represents the largest grant awarded under the agency’s OPEN program this year.
The funding will support Infleqtion’s ENCODE project, a pioneering initiative aimed at improving energy grid efficiency through quantum computing. In collaboration with DOE’s Argonne National Laboratory, EPRI, and the National Renewable Energy Laboratory (NREL), Infleqtion is spearheading the integration of quantum algorithms into the energy sector’s optimization workflows.
Improving Reliability and Energy Scheduling
The global energy landscape is undergoing rapid transformation, driven by the very large power demands of AI data centers and increasing adoption of renewable resources. The intermittent nature and cost-effectiveness of renewable energy sources like wind and solar, combined with the rising power demands of AI data centers, create complex challenges in balancing supply and demand.
Traditional energy grid management relies on Mixed Integer Programming (MIP) techniques to optimize power distribution. However, these conventional optimization models require extensive computational resources and often apply approximations to solve large-scale grid optimization problems that reduce the accuracy of solutions for realistic scenarios. Reducing solution accuracy drives increased power generation cost, which makes improving solution accuracy an important challenge to address. Infleqtion’s quantum computing approach may unlock novel algorithmic techniques that enhance solution quality, driving substantial efficiency gains.
“With AI-driven workloads consuming unprecedented amounts of energy, while at the same time the grid incorporates the benefits of non-traditional energy sources, further optimizing the energy grid is no longer an option—it’s a practical necessity,” said Thomas Noel, VP for Quantum Computing at Infleqtion. “By harnessing the power of quantum computing, we aspire to improve the accuracy and/or speed of energy optimization models, ultimately reducing operational costs and ensuring a more sustainable power grid.”
Real-World Impact and Industry Collaboration
The ENCODE project is positioned to improve power grid generation and distribution decisions by significantly improving optimization modeling and solution outcomes. Initial projections suggest that using Infleqtion’s quantum technology may be able to:
- Deliver more detailed solutions in minutes for industry workflows
- Significantly improve optimization quality compared to industry-standard MIP approximate solvers
- Enable significant annual savings by enhancing energy distribution strategies.
“The energy future will require new ways of thinking and innovation, including computational paradigms,” said EPRI Technical Executive Robert Entriken. “Through this collaboration, we are exploring how quantum computing can accelerate the energy sector’s ability to solve complex grid challenges and drive innovation in energy resilience.”
“We’re excited to be part of the ENCODE project, where we will contribute quantum information expertise and robust quantum simulation capabilities to improve energy efficiency,” said Argonne computational mathematician Jeffrey Larson.
Scaling Quantum-Powered Energy Optimization
As part of the ARPA-E initiative, Infleqtion and its partners are working towards integrating quantum capabilities into real-world energy sector workflows. The group’s research will focus on:
- Developing quantum algorithms tailored for large-scale energy grid optimization and co-designed with Infleqtion’s neutral atom quantum computers.
- Collaborating with industry leaders, including ComEd/Exelon, to explore practical deployment pathways.
“Infleqtion’s pioneering effort aligns with ComEd’s long-term commitment to advancing energy efficiency, grid reliability, and sustainability,” said Dale Player, ComEd VP, Engineering & Smart Grid.
Infleqtion will also present its quantum-driven energy solutions at Distributech on March 27, 2025 at a session titled: Quantum Leap: Revolutionizing the Grid with Quantum Technologies.
