Quantum Hardware, Deep Tech

SuperQ builds Super Nova processor at Waterloo’s quantum lab

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September 10, 2026 by Ivy Delaney

SuperQ Quantum Computing Inc. (CSE: QBTQ, OTCQB: QBTQF, FSE: 25X) is developing its Super Nova quantum processor at the University of Waterloo’s Digital Quantum Matter Lab, with supervision from superconducting quantum physics expert Professor Matteo Mariantoni. The company aims to overcome barriers to quantum adoption by creating a modular system designed to integrate directly into existing enterprise IT infrastructure. SuperQ reports this approach addresses high costs and interoperability issues currently limiting widespread use of superconducting quantum processors, and is also expanding its technical team at the Waterloo lab.

Super Nova Processor Development at Waterloo’s Digital Quantum Matter Lab

SuperQ is simultaneously expanding its technical team with multiple Quantum Hardware Scientists stationed at the Waterloo lab to accelerate hardware execution and development of the modular hybrid quantum computer. Super Nova is designed to integrate directly into enterprise IT environments and high-performance computing infrastructure, a key departure from processors primarily intended for research purposes.

The company reports this modular, hybrid hardware architecture addresses fundamental bottlenecks in the field, enabling seamless operation alongside classical CPUs and GPUs. SuperQ states that widespread commercial and institutional adoption has been constrained by the absence of a dedicated quantum operating system, a challenge Super Nova seeks to resolve.

SuperQ secured C$4.6 million in an oversubscribed brokered financing on July 1, 2026, with Canaccord Genuity as investors, bolstering resources for this development. These partnerships, alongside the processor’s development, reflect SuperQ’s focus on democratizing quantum computing access through cloud-based platforms and automated solution development, aiming to lower both the technical and financial barriers to commercializing quantum and supercomputing technologies.

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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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