Entry Date:
October 6, 2025

MIT Center for Quantum Engineering (MIT-CQE)


Quantum information science and technology (QIST) uses the basic principles of quantum mechanics to sense, communicate, and process information — with performance that promises to dramatically exceed conventional technologies.

Today, the field is transitioning from laboratory curiosity to technical reality. A new discipline of quantum engineering is emerging, bridging the traditional fields of computer science, mathematics, physics, and engineering.

As QIST enters its next remarkable development phase, the MIT Research Laboratory for Electronics and MIT Lincoln Laboratory are coordinating resources and talent to create the MIT Center for Quantum Engineering (CQE), the future locus of activity for breakthrough education and research in this exciting domain.

he MIT-CQE is dedicated to the academic pursuit and practice of quantum science and engineering to accelerate the practical application of quantum technologies for the betterment of humankind.

Objectives:
• Define the emerging discipline of quantum engineering
• Educate and train tomorrow’s quantum workforce
• Partner with academia, government, and industry
• Create a quantum ecosystem that advances quantum science and technology development

Quantum engineering is a new discipline that bridges the physics-based foundation of quantum science with the engineering abstraction necessary to design and build larger-scale quantum machines. In pioneering this new discipline, there is a need for coordinated, vertically-integrated activities across many fields of research.  To facilitate broad engagement, the CQE encourages and promotes its researchers’ involvement in existing Boston-area centers, including the Research Laboratory of Electronics, the MIT-Harvard Center for Ultracold Atoms, the Center for Integrated Quantum Materials, the Integrated Quantum Initiative, and beyond. It is through such collaborative research activities that the CQE will help researchers realize the promise of quantum computation, quantum simulation, quantum networks, and quantum sensing applications.