MIT and IBM Establish New Computing Research Lab for AI and Quantum

IBM and Massachusetts Institute of Technology (MIT) have launched the MIT-IBM Computing Research Lab to expand their collaboration in computing research, announced in a press release. The new lab builds on the previous MIT-IBM Watson AI Lab, created in 2017, and will now include research in quantum computing alongside artificial intelligence and algorithms.

The lab will focus on developing hybrid computing systems that integrate classical, AI, and quantum technologies. Research areas include small modular language model architectures, new AI paradigms, and quantum algorithms for use in materials science, chemistry, and biology. The initiative also aims to explore mathematical and algorithmic foundations that underpin machine learning and optimization.

The MIT-IBM Computing Research Lab will be co-directed by Aude Oliva of MIT and David Cox of IBM Research. Dedicated leads have been appointed for each focus area: Jacob Andreas and Kenney Ng for AI, Vinod Vaikuntanathan and Vasileios Kalantzis for algorithms, and Aram Harrow and Hanhee Paik for quantum. The lab will also engage faculty and students across MIT departments to train future computational scientists.

According to IBM, the new lab will complement MIT’s Generative AI Impact Consortium and the MIT Quantum Initiative. It will also contribute to IBM’s roadmap toward a fault-tolerant quantum computer targeted for 2029, integrating quantum and high-performance computing with AI for industrial and scientific applications.