Adding Quantum to the HPC Toolbox
Suzanne Talon
Calcul Québec | Directrice générale
KEY02 — Monday, September 16, 2024 @ 17:00–18:30 Eastern Time (EST) — UTC-4
Biography
Suzanne Talon, CEO of Calcul Québec, holds a PhD in astrophysics from the Université Paris VII and the Observatoire de Meudon. With a decade of experience as a researcher in solar and stellar physics, she specialized in crafting sophisticated numerical and theoretical models for understanding transport phenomena in angular momentum and chemical elements. She also imparted her knowledge by teaching astrophysics, numerical physics and basic physics courses at the Université de Montréal and the Université de Sherbrooke.
Her expertise led her to be sought after by the Réseau québécois de calcul de haute performance, where she served as an assistant to the director and head of the high-performance computing site at the Université de Montréal. In this capacity, Suzanne played a pivotal role in establishing Calcul Québec. This consortium harnessed the collective strengths of Quebec’s post-secondary educational institutions in advanced research computing. She was an Advanced Research Computing Working Group member within the Leadership Council for the Digital Research Infrastructure, contributing significantly to ISED’s investments in DRI.
Abstract
What can quantum computing really offer? How relevant is it in the context of other powerful tools like exascale computing clusters? At Calcul Québec, we are deeply embedded in the world of high-performance computing and advanced digital research infrastructure. For us, quantum computing naturally places itself as simply another powerful tool in the computing toolbox. A QPU, like a GPU, has tasks it excels at, and tasks it does poorly. The challenge and opportunity we face is: how do we integrate this new tool in a way that complements and works together with what already exists? How do we make use of the unique capabilities of quantum computing in the context of our already powerful infrastructure? Most importantly, how can we take all that we have learned from decades as a provider of high-performance computing and apply it to quantum? How do we make quantum accessible, applicable, and valuable to computational research? We will be discussing our relevant lessons learned from high-performance computing and our plan for integrating MonarQ, our new 24-qubit superconducting quantum computer, into our existing computational infrastructure. We will cover both the challenges and opportunities we continue to encounter in integrating the research communities of classical and quantum computing.