$3M DOE Funds Infleqtion’s Quantum Sensing & Computing

Infleqtion has secured three Genesis Mission projects from the Department of Energy, a substantial investment signaling the company’s expanding role in U.S. quantum technology development. These projects will unite Infleqtion with Argonne, Brookhaven, and Lawrence Livermore National Laboratories, as well as the University of Colorado Boulder, to explore applications ranging from nuclear research to fusion energy. The Genesis Mission is a national initiative combining artificial intelligence, supercomputing, quantum systems, and advanced instruments to accelerate breakthroughs in energy, security, and scientific discovery. “AI data centers are pulling more power than the grid was ever built to handle,” notes Infleqtion CEO Matthew Kinsella, framing quantum computing as a potential solution to escalating energy demands and a critical component of future research.

One key area of focus is the application of artificial intelligence to optimize quantum circuit design for problems within nuclear science; this work is a collaboration between Infleqtion and Argonne National Laboratory. This project aims to overcome limitations in current computational methods when modeling nuclear systems, which demand immense processing power and often exceed the capacity of even the most advanced supercomputers. The Phase I Research and Funding Announcement awards are designed to identify promising pathways toward transformative scientific capabilities and establish a foundation for future investment. Infleqtion’s work with Argonne will focus on designing and demonstrating research workflows that integrate AI with scientific investigation, evaluating whether these approaches can accelerate discovery and improve predictive capabilities in nuclear applications. This collaboration signifies a strategic move toward leveraging quantum resources to tackle problems previously intractable for classical systems, potentially unlocking new insights into nuclear physics and materials science.

AI data centers are pulling more power than the grid was ever built to handle, and the industry is recognizing that these types of issues are beyond the capabilities of classical computing alone.

Matthew Kinsella, CEO at Infleqtion

Infleqtion is extending its quantum technology beyond foundational research with a new Department of Energy project focused on practical deployment; the company secured projects through the Genesis Mission for designing and testing deployable atomic quantum sensing systems. This initiative, a collaboration with Brookhaven National Laboratory, moves beyond laboratory demonstrations toward field-ready sensors, leveraging the capabilities of agentic artificial intelligence to enhance performance and adaptability. Unlike traditional sensors reliant on classical physics, atomic quantum sensors promise improved sensitivity and precision in measuring subtle changes in gravity, magnetic fields, and time. Agentic AI, a form of artificial intelligence capable of autonomous decision-making, will be integral to processing the complex data streams generated by these quantum sensors, enabling real-time analysis and adaptive sensing strategies. This project aims to create sensors capable of operating in dynamic and unpredictable environments, a key requirement for applications ranging from underground infrastructure monitoring to advanced navigation systems. Infleqtion’s selection underscores the growing recognition of quantum technology as a strategic national asset, bridging research with deployable solutions for both government and commercial sectors.

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: