Quantum Technology, Quantum Education

Bloq Quantum & SBCE Launch First Quantum Lab at Private Kerala College

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July 24, 2026 by Ivy Delaney

Sree Buddha College of Engineering (SBCE) is establishing a dedicated quantum computing lab through a partnership with Bloq Quantum, positioning the private Kerala institute as a regional hub for undergraduate quantum technology education. Formalized on July 22, 2026, the collaboration will give SBCE students direct access to Bloq Quantum’s cloud-based quantum computing platform, known as “Bloq,” allowing them to move beyond theoretical study to practical application. The initiative includes faculty development programs and curriculum integration, as well as opportunities for student research and career advancement. Sreekuttan L S, Co-Founder & CEO at Bloq Quantum, said this collaboration is a significant step in making quantum technology accessible and practical for the next generation of engineers and researchers. SBCE and Bloq Quantum also plan to jointly pursue research grants and co-author publications through India’s National Quantum Mission.

The collaboration extends beyond infrastructure to include faculty development programs and curriculum updates designed to integrate quantum concepts into existing coursework. SBCE students will receive comprehensive career support, including industry masterclasses and targeted internship assistance within the Bloq Quantum ecosystem. Top performers will qualify for exclusive, merit-based internships, providing further practical experience with commercial quantum infrastructure. This partnership focuses on building quantum expertise within the region and preparing students for emerging roles in the field.

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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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