The impact of quantum computing and AI on science & engineering research facilities

Quantum computing and artificial intelligence are rapidly transforming higher education research and the facilities that support it. Quantum systems demand specialized infrastructure including cryogenic environments and electromagnetic shielding, while AI research drives demand for flexible computational hubs and high-performance data infrastructure. This session examines how leading R1 institutions are designing convergence facilities that bridge the digital and physical domains. Using Michigan State University’s Leinweber Center for Engineering and Digital Innovation as a primary case study, presenters explore how cleanrooms, flexible laboratories, digital learning environments, and industry partnership spaces can be integrated to support quantum computing, AI, and advanced materials research within a single adaptive facility.