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Canada, G7 & Nordic nations seek quantum research projects

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August 15, 2026 by Ivy Delaney

Researchers face a deadline of September 24, 2026, at 1:00am UK time to submit proposals for international quantum research projects. Canada, G7 nations, and Nordic countries are collaborating to fund university-based research, seeking to build partnerships and advance quantum innovation, the company says. This funding opportunity supports non-confidential work, even with potential dual-use applications, and encourages exploration of how quantum technologies can enhance privacy and security. Projects must focus on areas like quantum algorithms, encryption, and communications, or integrate these with natural sciences and engineering.

G7-Nordic Collaboration Funds Quantum Science and Technologies

The funding call, issued jointly by Canada, G7 nations, and Nordic countries, specifically targets university-based projects focused on advancing quantum algorithms, encryption, and communications technologies. Proposals integrating these areas with natural sciences and engineering are also welcomed, provided they address at least one core quantum theme. The collaborative effort explicitly supports research involving potential dual-use applications while maintaining a requirement for non-confidential, unclassified work, signaling an interest in technologies with both civilian and national security implications.

Funding aims to improve national resilience and security through quantum technologies, as well as enable new scientific discoveries and industrial applications. The program utilizes a single-stage proposal model, streamlining the application process for international teams seeking to build partnerships in quantum science.

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Canada Cryptography quantum algorithms Quantum communications quantum technologies
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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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