Tareq Jaouni

Tareq Jaouni obtained his BSc in Physics-Mathematics with a Minor in Computer Science. At the same university, he obtained his MSc in Physics under the supervision of the SQO group. In collaboration with the Artificial Science Lab (ASL) group at the Max Planck Institute for the Science of Light, he investigated a suprising link between quantum optical experiments in terms of fully connected, weighted, multicolored graphs. Effectively, this enables the application of AI-driven routines for the design of quantum optical experiments. Exploiting this fact, he developed an interpretability tool for neural networks trained on quantum optical experiments; he also proposed experimental solutions for a kind of high-dimensional quantum measurement based on a quantum puzzle called the Mean King’s Problem. 

As of January 2025, Tareq is completing his first year of his PhD under the co-supervision of the SQO and ASL groups. His interests are in the development of fast, reliable quantum simulators which may form the basis for AI-driven frameworks capable of performing superhuman tasks in quantum optics. Specifically, he is currently investigating the automated discovery of quantum experiments which exploit structured light for quantum metrology tasks. He also cultivates a broader interest in applying machine learning routines to various tasks in experimental quantum optics, such as in quantum process tomography and in atmospheric turbulence forecasting for secure quantum communications.

Tareq can be found in his office, at various cafés, or riding his bike in rural communities that lay beyond the eastern confines of Ottawa. Challenge him to a game of Squash or Pokémon at your peril.