MIT-IBM Launches AI and Quantum Research Lab

MIT and IBM have launched the MIT-IBM Computing Research Lab. It is an expansion of the MIT-IBM Watson AI Lab, which began in 2017, bringing AI, algorithms, and quantum computing together as one joint research axis.

The new lab targets the following:

• Small, efficient, modular language model architectures
• Enterprise AI systems where reliability, transparency, and trust matter
• Hybrid computing combining quantum hardware with classical systems and AI
• Quantum algorithms applicable to materials science, chemistry, and biology
• Mathematical and algorithmic foundations for machine learning, optimization, Hamiltonian simulation, and partial differential equations (PDEs)

The lab will be co-led by Aude Oliva of MIT CSAIL and David Cox of IBM Research, with separate leads for each of the three pillars—AI, algorithms, and quantum. The existing Watson AI Lab has built up a track record of industry-academia collaboration, supporting 210+ research projects, 150+ MIT faculty, 200+ IBM researchers, 1,500+ peer-reviewed papers, and 500+ students and postdocs.

The lab also aims to train the next generation of computational scientists, connecting faculty and students across all MIT departments to accelerate discoveries in physics and the life sciences. IBM continues to maintain its roadmap to deliver a fault-tolerant quantum computer by 2029, and the new lab will complement the MIT Generative AI Impact Consortium and the MIT Quantum Initiative as well.