I'm Victor Drouin-Touchette, a Research Professor at the Departement of Electrical and Computer Engineering (GEGI) at the Université de Sherbrooke in Québec, Canada. My group focuses on the application of classical and quantum algorithms to industrial use-cases. We work with digital and analog quantum computing, mostly on neutral atoms platforms. I use tools from many-body theory, quantum information, operations research and machine learning to address practical problems, often in the context of combinatorial optimization but also in machine learning. More broadly, I also dip into the issue of quantum simulations of frustrated spin systems, as the insight gained there helps further understand capabilities of current quantum computers. If these subjects are interesting to you, contact me, I am always looking for new students and innovative collaborators!
From 2023 to 2026, I was a Staff Researcher at the Departement of Electrical and Computer Engineering (GEGI) within the QQR project, working with Pr Yves Bérubé-Lauzière, as well as in the Department of Physics, working with Pr Stefanos Kourtis within the QAI project. I was also a Quantum Application Scientist at Pasqal. I worked primarily on the development of new quantum algorithms to tackle industry-relevant problems in optimization or in machine learning using analog neutral atoms quantum computers - a topic I continue to work on as a Professor.
Prior to this position, I was a Postdoctoral Researcher in Prof. Ananda Roy's group at Rutgers University, with a focus on applying many-body perspectives to quantum computing. I obtained my Ph.D. in theoretical condensed matter physics in July 2022 at Rutgers University under the supervision of Prof. Piers Coleman . During my studies, I worked on analytical and numerical approaches of competing phases in many-body physics.
