Quantinuum gets $100 million to build quantum computers in the US

Quantinuum will receive $100 million in funding finalized with the U.S. Department of Commerce to advance manufacturing of trapped-ion quantum computers within the United States. The award, enabled by the CHIPS and Science Act, specifically targets research and development alongside bolstering domestic semiconductor capabilities for scalable, fault-tolerant quantum computing. Quantinuum was the only company utilizing a trapped-ion architecture to receive this funding. Rajeeb Hazra, President and CEO of Quantinuum, as the company partners with GlobalFoundries and Monarch Quantum to build a resilient U.S. supply chain. GlobalFoundries will fabricate ion traps and control electronics for Quantinuum, utilizing 300mm wafer technology to advance trapped-ion quantum computer manufacturing within the United States. This collaboration, supported by a $100 million award from the U.S. Department of Commerce’s CHIPS Research and Development Office, focuses on scaling fault-tolerant quantum computing systems. Quantinuum is the sole recipient of CHIPS R&D funding employing a trapped-ion architecture, a deliberate investment in this specific technology for future scalability, the company says. Monarch Quantum will concurrently develop and manufacture reliable lasers and optical components essential for Quantinuum’s systems, shifting away from complex optical setups toward integrated photonics engines. “The road to large-scale, trapped-ion quantum computers relies on moving away from complex, sprawling optical setups to scalable, reliable integrated photonics engines,” said Dr. Timothy Day, CEO of Monarch Quantum. These combined efforts aim to improve component robustness and reproducibility, strengthening domestic capabilities in photonics and semiconductor manufacturing. “GlobalFoundries is proud to partner with Quantinuum to help scale their trapped-ion technology,” said Tim Breen, CEO of GlobalFoundries. “By bringing our expertise in high-volume, differentiated semiconductor manufacturing, we’re helping create a path to more scalable, reliable quantum hardware and advancing the next generation of American innovation.” This funding intends to diversify Quantinuum’s supply chain and bolster U.S. leadership in the strategically important field of quantum computing. As quantum computing moves closer to commercial scale, manufacturing will be critical to unlocking its full potential. Tim Breen, CEO of GlobalFoundries Source: https://www.prnewswire.com/news-releases/quantinuum-finalizes-100-million-chips-rd-award-with-us-department-of-commerce-to-advance-trapped-ion-quantum-computer-manufacturing-in-the-us-302871703.html More like thisQuantum FundingR&D Funds Target Bottlenecks in Trapped-Ion Quantum ComputingTechnology NewsQuantum Zeitgeist Weekly DigestQuantum Computing Business News$2 Billion to Fund 9 Companies, Accelerate Quantum ComputingQuantum Computing Business NewsInfineon & Quantinuum Boost Quantum ComputingStay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: 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: IonQ’s SkyWater buy & quantum gains boost 2026 revenue forecast September 8, 2026 RAQM: Eight qubits stored in a single superconducting memory module September 8, 2026 NVIDIA Omniverse NuRec adapts perception to new vehicle designs September 8, 2026