Resources

Clemson University is home to a growing quantum computing community spanning multiple departments. Below you will find links to learning materials, student work, and information about quantum faculty and programs at Clemson.

Learning Resources

Curated learning materials to help students and researchers — from bootcamps and lecture series to textbooks and problem sets. Browse: Learning Resources.

Student Work & Projects

Browse posters and papers submitted by our students and collaborators. Each entry includes authors, a short summary, and links to artifacts (PDFs or repositories). Browse: Student Work & Projects.

Quantum Computing Creative Inquiry

The Hands-on Quantum Computing Creative Inquiry is an undergraduate research course led by Dr. Rong Ge. Students gain practical experience with quantum computing platforms, participate in quantum hackathons, and work collaboratively on quantum algorithms and computational problem-solving. The program welcomes students from all majors and has produced teams that have competed at MIT iQuHACK, the NYUAD International Hackathon, and the SC Quantathon series.

Quantum Faculty at Clemson

Several Clemson professors conduct research and teach courses in quantum computing, quantum information, and quantum physics.

• Dr. Rong Ge — Professor, School of Computing. Faculty advisor for the Clemson Quantum Club and instructor of the Hands-on Quantum Computing Creative Inquiry and the graduate-level Quantum Computing course (CPSC 8230). Research interests include high-performance computing, quantum computing education, and quantum workforce development.
• Dr. Sumanta Tewari — Professor, Department of Physics and Astronomy. An American Physical Society Fellow whose research focuses on topological quantum computation, Majorana fermions, superconductivity, and condensed matter theory. His work on semiconductor-superconductor heterostructures is one of the most widely studied platforms for fault-tolerant quantum computing.
• Dr. Emily Tucker — Assistant Professor, Department of Industrial Engineering. Research focuses on quantum optimization for resilient systems, with applications in disaster relief, logistics, and supply chain resilience using stochastic, discrete, and quantum optimization methods.