Introduction
We are a newly established research group in the School of Computer Science, College of Computational, Mathematical, and Physical Sciences (CCMPS), University of Guelph. Our work focuses on advancing quantum computing through the lens of machine learning, with an emphasis on theory, applied research, and real-world impact.
- Quantum Machine Learning (QML): Develop hybrid models that combine classical machine learning with variational quantum circuits. We explore model expressivity, noise robustness, and applications in areas such as pattern recognition, materials research, and health-related data.
Through foundational research and interdisciplinary collaboration, the Quantum Computing Lab aims to push the boundaries of what is possible with quantum-enhanced learning. As the group grows, we look forward to welcoming undergraduate, MSc, PhD, and postdoctoral researchers interested in advancing the science and engineering of quantum computation.
Principal Investigator: Dr. Ed Sykes
School of Computer Science
College of Computational, Mathematical, and Physical Sciences (CCMPS)
University of Guelph