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T-SQUARED builds new quantum center to triple Infleqtion UK’s space

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August 13, 2026 by Ivy Delaney

Infleqtion UK will triple its research, manufacturing, and systems integration capabilities with a new Quantum Innovation Centre in Oxford, built by T-SQUARED. The facility adds to over a decade of Infleqtion investment in the UK, strengthening the country’s position as a global quantum technology center. T-SQUARED began construction by deploying a construction layout robot to transfer design drawings onto the site with millimeter accuracy. “Infleqtion is determined to ensure that the UK remains a global leader in quantum technology,” says Colin Sullivan MBE, Managing Director of Infleqtion UK.

T-SQUARED Construction Triples Infleqtion UK’s Oxford Quantum Capacity

The new Quantum Innovation Centre builds upon over ten years of Infleqtion investment within the United Kingdom, solidifying the nation’s position in the rapidly evolving quantum sector. The expanded workspace aims to attract leading talent and accelerate the commercialization of quantum computing, sensing, and precision timing technologies, further establishing Oxford as a central hub for the UK quantum industry. Connor McAleer, Director at T-SQUARED, said, “We are delighted to partner with Infleqtion UK on the design and construction of its new Quantum Innovation Centre in Oxford.”

We selected T-SQUARED to execute this infrastructure project as they gave us every confidence in their ability to meet our demanding vision for this exciting, cutting-edge Quantum Innovation Centre.

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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.

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