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Quantinuum leaders to speak at Piper Sandler’s Growth Frontiers

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September 13, 2026 by Ivy Delaney

Quantinuum, a quantum computing company listed on Nasdaq as QNT, will engage with investors at the Piper Sandler conference in Nashville, Tennessee, September 14-16. The company describes its hardware as the most accurate commercial general-purpose quantum computer, with industry-leading gate fidelities, a key metric for evaluating quantum processor performance. Quantinuum is showcasing its full-stack quantum approach to a range of industries, from pharmaceuticals to finance, and currently employs approximately 630 people globally, the company says. The company offers a complete platform designed to enable the deployment of quantum computing in real-world environments.

Quantinuum Leadership Participation at Piper Sandler’s Growth Frontiers

Quantinuum’s executive team will participate in the 5th edition of the annual “Growth Frontiers” conference hosted by Piper Sandler, taking place from September 14 to September 16, 2026, in Nashville, Tennessee. During the conference, Quantinuum will engage in a fireside chat and host one-on-one meetings with investors. The company has commercialized several generations of trapped-ion quantum systems, based on the well-established QCCD architecture, which it has implemented with new designs and capabilities to achieve high precision based on average two-qubit gate fidelity.

Quantinuum maintains close relationships with market leaders in the pharmaceutical, materials science, financial services, public, and industrial sectors, as well as research and academic institutions worldwide, according to the company. The company employs approximately 800 people globally, including a high concentration of leading scientists and researchers; more than 70 percent of its technical team hold a doctorate or master’s degree, the company says.

Quantinuum is headquartered in Broomfield, Colorado, and has additional facilities in the United States, the United Kingdom, Germany, Japan, Qatar, and Singapore, where the Helios system was deployed to a new R&D centre in March 2026.

The company publishes no Quantum Volume figure for Helios.

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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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