Coldquanta, INC. DBA infleqtion new award control number: 3387-2557 vision open 2024 (DE-FOA-0003387) project title: enhancing neutral-atom computers for optimizing delivery of energy (encode)…

The Department of Energy Advanced Research Projects Agency awarded a $5.95 million Cooperative Agreement to Infleqtion Quantum, LLC on January 9, 2026, under the Advanced Research Projects Agency - Energy program (CFDA 81.135) for the ENCODE project: Enhancing Neutral-Atom Computers for Optimizing Delivery of Energy.

The award funds development of quantum algorithms and advancement of neutral-atom quantum computing technology applied to energy grid optimization. The project addresses unit commitment problems—mathematical formulations for maximizing cost-efficiency in generator coordination to meet fluctuating energy demands in grids increasingly dependent on decentralized, variable renewable energy sources. The work leverages quantum computing's fundamental advantages over classical computing approaches (CPU, GPU, TPU) to unlock algorithms inaccessible to traditional systems, targeting efficiency gains measured in billions of dollars annually across the energy sector.

Performance runs through January 8, 2029, with all work performed in Boulder, Colorado. The obligated amount is $5.95 million. Modification 1 revised attachments 2 and 3.

Coldquanta, INC. DBA infleqtion new award control number: 3387-2557 vision open 2024 (DE-FOA-0003387) project title: enhancing neutral-atom computers for optimizing delivery of energy (encode) description: "the energy grid and intermodal energy superhighway are becoming ever more complex thanks to renewable energy sources, which - unlike traditional sources - are decentralized and variable, demanding advanced grid management solutions to ensure stability, efficiency, and security. Rising global energy demands, especially as they are increasingly met by renewable energy sources, necessitate efficient solutions to ever more complex optimization problems, like "unit commitment". Unit commitment is a mathematical formulation of the problem of maximizing cost-efficiency in coordination of generator sources to meet fluctuating energy demands. Improving unit commitment solvers generates tremendous economic impact in the energy sector measured in billions of dollars per year. Encode leverages quantum computing, a novel computing modality that is fundamentally more powerful than traditional "classical" computing (CPU, GPU, TPU) approaches in that IT unlocks a classically inaccessible class of algorithms. The encode program aims that novel computational power at improving energy sector efficiency and intelligent power utilization through the development of appropriate quantum algorithms and the advancement of a uniquely scalable quantum computing technology that uses individual atoms as computational quantum bits."