We are seeking a Research Intern to explore the intersection of quantum applications and quantum system architecture through advanced resource estimation and AI-driven methods. You will develop models that map application-level requirements—such as algorithm depth, error tolerance, and logical qubit demand—onto architectural constraints including error correction overhead, connectivity, and control infrastructure. By combining machine learning with quantum resource estimation, this work aims to co-design more efficient quantum systems that are aligned with real-world application workloads. The role emphasizes end-to-end understanding, from application intent to hardware realization, producing insights that guide the design of scalable, fault-tolerant quantum computing platforms.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.