MIT and IBM launch joint lab to bridge AI and quantum computing

IBM and the Massachusetts Institute of Technology have launched the MIT-IBM Computing Research Lab, broadening a nearly decade-long collaboration to include quantum computing alongside foundational artificial intelligence research. Announced on April 29, 2026, the initiative is framed as a push to develop computational approaches that move past the limits of today’s classical systems.

The new lab builds on the MIT-IBM Watson AI Lab, established in 2017 on MIT’s campus, and reflects a technology landscape in which AI has moved into mainstream deployment while quantum hardware is advancing toward practical impact. MIT and IBM said they aim to help lead research across AI and quantum computing and to revisit the mathematical foundations common to both fields.

“We expect the MIT-IBM Computing Research Lab to emerge as one of the world’s premier academic and industrial hubs accelerating the future of computing,” said Jay Gambetta, director of IBM Research, IBM Fellow, and IBM chair of the MIT-IBM Computing Research Lab.

“Together, the brightest minds at MIT and IBM will rethink how models, algorithms, and systems are designed for an era that will be defined by the sum of what’s possible when AI and quantum computing come together.” Anantha Chandrakasan, MIT’s provost—who, as dean of the School of Engineering, spearheaded the creation of the MIT-IBM Watson AI Lab and will continue as MIT chair of the new lab—said the collaboration has produced leading-edge research and mentorship over the past decade and added: “I look forward to another decade of impact.” According to the partners, the lab will serve as a focal point for joint research in AI, algorithms and quantum computing, as well as the integration of these technologies into hybrid systems.

The goal is to accelerate progress by combining maturing quantum hardware with classical computing and advanced AI methods, including work on small, efficient, modular language model architectures, novel AI computing paradigms, and enterprise-focused AI systems designed for real-world deployment where reliability, transparency and trust are essential.

In parallel, researchers plan to revisit the mathematical and algorithmic underpinnings of the next era of computing by advancing quantum algorithms for complex problems with potential impact in materials science, chemistry and biology.

The lab will also explore the foundations of machine learning, optimization, Hamiltonian simulations and partial differential equations—tools used to approximate the behavior of dynamical systems that have challenged classical systems at scale and accuracy. Potential applications cited by the partners range from more accurate weather and air turbulence prediction to improved forecasts of financial market performance.

They also said advances in optimization could help lower risks in areas such as finance. The leaders of the effort positioned the new lab as the next phase of a long-term collaboration, with both MIT and IBM maintaining joint leadership roles as they pursue AI- and quantum-centric research over the coming decade.