Quantum Hardware, Quantum Funding

Nord Quantique gets US$10M to shrink quantum computer size

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October 27, 2026 by Ivy Delaney

Nord Quantique will use a US$10 million extension of a Defense Advanced Research Projects Agency (DARPA) agreement to further develop its approach to fault-tolerant quantum computing. The funding advances evaluation of Nord Quantique’s hardware-efficient architecture, which uses bosonic quantum error correction to reduce the physical qubit count needed for stable quantum information. “This marks another important milestone for Nord Quantique and reflects the momentum behind our technology,” said Julien Camirand Lemyre, CEO and co-founder of Nord Quantique. The DARPA Quantum Benchmarking Initiative aims to assess whether emerging architectures can achieve utility-scale operation by 2033.

DARPA QBI Stage B Extension Fuels Nord Quantique’s Progress

The extended funding directly supports Nord Quantique’s work on bosonic quantum error correction, a technique designed to protect quantum information within existing physical qubits. This contrasts with traditional fault tolerance methods requiring significantly more hardware, potentially accelerating the path to practical quantum computers. The additional resources will bolster development of the company’s roadmap, aiming for scalable and fault-tolerant systems suitable for commercial deployment. The QBI program specifically assesses the feasibility, scalability and resource demands of emerging quantum computer designs, providing an important benchmark for the industry.

This extension signifies confidence in Nord Quantique’s ability to deliver compact, efficient quantum computers that can integrate into existing infrastructure, a key advantage in the race to build commercially viable quantum technology, the company says. The company’s architecture aims to minimize hardware overhead, a critical factor in reducing the cost and complexity of building and operating quantum processors.

This marks another important milestone for Nord Quantique and reflects the momentum behind our technology.

Julien Camirand Lemyre, CEO and co-founder of Nord Quantique
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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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