Quantum Education, Quantum Ecosystem

Bloq Quantum, QClairvoyance Partner to Build Quantum Talent Pipeline

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July 27, 2026 by Ivy Delaney

Bloq Quantum announced a strategic partnership with QClairvoyance to develop the quantum computing workforce. The partnership will build a sustainable talent pipeline through student certification programs, faculty development, and industry internships, addressing a critical skills gap in the field. QClairvoyance will also integrate its algorithms onto the Bloq Quantum platform through future project-specific addendums, extending beyond training to contribute directly to the platform’s development. Sreekuttan L S, Co-Founder & CEO at Bloq Quantum, said this collaboration is a significant step in making quantum technology accessible and practical for engineers and researchers. This alliance aims to connect foundational quantum education with real-world enterprise applications.

Bloq Quantum designated QClairvoyance as an official “Quantum Skilling Partner,” a collaboration that actively shapes the quantum workforce. As part of this alliance, QClairvoyance will facilitate the integration of Bloq Quantum’s platforms into training modules and educational institutions. The collaboration also encompasses advanced research and development, joint publications, and grant applications.

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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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