Quantum Events, Quantum Ecosystem

Unitary Foundation hosts open-source quantum event alongside IEEE Week

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September 13, 2026 by Ivy Delaney

Kristian Gogoran will present at unitaryCON26, a workshop co-hosted by Xanadu offices and the University of Toronto, connecting a commercial entity with the quantum open-source community. Attendees at the Unitary Foundation’s annual event, designed to advance open-source quantum software and hardware, can also find OrangeQS at booth 306 during IEEE Quantum Week in Toronto between September 13 and 18, the company says.

There, Dianto Bosman, Marlo Kürner, and Gogoran will discuss OrangeQS’s MAX and FLEX test equipment while offering orange juice. The workshop provides a forum to share projects and strengthen collaboration across the quantum software community.

OrangeQS Showcase of MAX and FLEX Equipment at IEEE Quantum Week 2026

From September 13 through 18, attendees at IEEE Quantum Week in Toronto can examine OrangeQS’s MAX and FLEX test equipment at booth 306 while enjoying fresh-pressed orange juice, intended to create a welcoming atmosphere for discussion. The company intends the showcase to facilitate conversations about its testing capabilities as the quantum field matures and demands more rigorous validation procedures.

The Unitary Foundation’s event will gather leading contributors, developers, and researchers, creating a unique opportunity for advisors, grantees, ambassadors, staff, and community members to connect and explore new avenues for advancing the field. This co-location with IEEE Quantum Week aims to foster a broader exchange of ideas between industry professionals and open-source developers, potentially accelerating innovation in 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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