Using quantum algorithms to speed up generative artificial intelligence

The paper titled Gibbs Sampling of Continuous Potentials on a Quantum Computer by Pooya Ronagh, IQC member and professor in the Department of Physics and Astronomy, and Arsalan Motamedi, IQC alum and researcher at Canadian quantum computing company Xanadu, explores how quantum algorithms can relieve bottlenecks in generative AI.

The paper was instrumental in securing $412,500 from the National Research Council’s Applied Quantum Computing grant, which will fund further research in this area.

Ronagh says his work focuses on the intersection of quantum science and AI and whether quantum computing can speed up mimicking real-world patterns and phenomena as AI and machine learning scientists have done.