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Quantum computing education expands with new HBKU-QCi programs

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September 14, 2026 by Ivy Delaney

Quantum Computing Inc. providing both on-cloud access to its Dirac-3 system and a physical installation within Qatar. “Quantum technologies will have their greatest impact when they move beyond the laboratory and into practical applications that create measurable value for industry and society,” said Yong Meng Sua, CTO of QCi. This alliance aims to accelerate quantum adoption and cultivate quantum talent in the region.

HBKU-QCi Partnership Focuses on Quantum Research & Workforce Development

Hamad Bin Khalifa University and Quantum Computing Inc. are jointly establishing new educational initiatives designed to prepare business and government leaders for the implications of quantum technologies. This collaboration extends beyond theoretical research, focusing on practical applications and bridging the gap between academic discovery and real-world value creation, according to QCi.

The partnership’s emphasis on executive education signals a recognition that technological advancement alone is insufficient; widespread adoption requires informed decision-making at leadership levels. This accessibility is a key component of the HBKU-QCi strategy, aiming to democratize access to quantum tools and accelerate innovation across various sectors.

Dr, the company says. This achievement, realized in collaboration with national partners, underscores HBKU’s commitment to translating research into tangible outcomes and solidifying its position as a regional leader in quantum innovation.

QCi’s Chief Product Officer, Pouya Dianat, emphasized the importance of this collaborative approach, noting, “One of the most important factors in accelerating quantum adoption is helping business leaders understand where these technologies can create practical value.” Our collaboration with HBKU combines academic excellence, executive education, and industry engagement to help bridge that gap and identify high-impact opportunities for quantum solutions. Beyond education and workforce development, the partnership will foster joint research projects, technical workshops, and quantum-focused events, creating a dynamic ecosystem for innovation.

This multifaceted approach aims to stimulate commercialization and attract investment in Qatar’s growing quantum sector. QCi, a publicly traded company listed on Nasdaq as QUBT, is investing in this expansion, signaling confidence in the long-term potential of the partnership and the region’s commitment to quantum technologies.

The collaboration is not limited to theoretical exploration; it actively seeks to address real-world challenges through the development of practical quantum solutions, according to the company. HBKU’s existing research infrastructure and growing capabilities, combined with QCi’s vertically integrated portfolio of quantum, photonics, and semiconductor technologies, create a synergistic environment for accelerating innovation and driving commercialization, the firm reports.

The agreement reflects a shared vision of advancing quantum innovation through collaboration among academia, industry, and government stakeholders, positioning Qatar as a key player in the global quantum economy. Over the next three years, QCi and HBKU anticipate a range of initiatives designed to cultivate talent, foster research, and promote the adoption of quantum technologies, ultimately shaping the future of this rapidly evolving field.

Through this agreement, we are creating new opportunities to further advance quantum research while building the knowledge and skills necessary to support the adoption of quantum technologies across Qatar’s innovation ecosystem.

Dr. Saif Al-Kuwari, Director of Qatar Center for Quantum Computing at Hamad Bin Khalifa University
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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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