Explore quantum information science hands-on at a world-class institute
The Undergraduate School on Experimental Quantum Information Processing (USEQIP) is a two-week program on the theoretical and experimental study of quantum information aimed primarily at students one year away from completing their undergraduate studies. The lectures and experiments are geared toward students in engineering, physics, chemistry, mathematics and computer science, though all interested students are invited to apply.
- The summer school will take place May 26 to June 6, 2025.
- The program has space for 30 students.
- No cost to students and travel bursaries available
- Paid summer research opportunities available through Undergraduate Research Awards
- Applications for USEQIP are due Friday, January 3, 2025. Late applications will not be considered. References are due Wednesday, January 8, 2025.
Topics include:
- Quantum algorithms
- Entanglement
- Photonic qubits
- Quantum error correction
- Quantum cryptography
- Trapped-ion systems
- Superconducting circuits
- Nuclear magnetic resonance
Thank you to our partners
USEQIP is supported by the the MITACS Globalink Internship (GRI) program and the Canada First Research Excellence Fund (CFREF) as part of the Transformative Quantum Technologies research initiative.



The Institute for Quantum Computing (IQC) is proud to support IYQ Canada and the International Year of Quantum Science & Technology (IYQ).
