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IIT-Madras to collaborate with IBM on quantum computing


CHENNAI: Indian Institute of Technology – Madras will collaborate with IBM on quantum computing under which the faculty members, researchers and students of IIT-Madras will get access to IBM’s quantum systems and tools.

It would accelerate joint research in quantum computing and develop curricula to help prepare students for careers in the next era of computing, IIT-Madras said in a release.

The quantum computing lab courses jointly taught by IIT-Madras faculty and IBM researchers will include hands-on lab sessions on the IBM quantum systems and will augment existing courses on quantum information and computing. IBM will provide the learning resources, tools, and systems access needed by the faculty and students.

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Gargi Dasgupta, director, IBM Research India, said, “Quantum computing is fast emerging as one of the disruptive technologies of our times. This collaboration with IIT-Madras is part of the IBM Quantum Educators program that helps teachers in the quantum field connect with one another and provide learning resources, tools and systems access they need to provide quality educational experiences.”

“Quantum computing offers us the opportunity to solve computationally intractable problems. We have played a leadership role in the indigenous development of quantum key distribution, having demonstrated distributed phase reference QKD at distances up to 150km. Such QKD protocols form the building blocks for quantum networks that will secure our communications, enable new paradigms such as photonic quantum computing and distributed and blind quantum computing,” said Anil Prabhakar, department of electrical engineering, IIT-Madras.

IIT-Madras introduced the Interdisciplinary Dual Degree (IDDD) program on ‘Quantum Science and Technologies’ (QuEST) in July 2020. The Quantum Computing Lab at IIT- Madras will host courses for undergraduate and postgraduate students and better prepare for a career in quantum science and technology.

Courses such as Quantum Integer Programming, conducted alongside a similar course at the Tepper Business School, Carnegie Mellon, emphasize the advantages of hybrid quantum computing to areas as diverse as bin packing, image classification, channel decoding and quantum state tomography.





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