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Research group: les qubits volants
This is the page for our research, les qubits volants. This group conducts research at the University of Victoria in British Columbia, Canada.
We are primarily studying the theory of (quantum) computation, but we have work that spans quantum matter, quantum chemistry, and computer science. There is no unique training for the work that we do, so we welcome oustanding individuals from all backgrounds. If you are curious about what we do, consider looking at the information on the Contact & Applications page.
Many times, we use entanglement renormalization methods both on the classical computer and to characterize quantum circuits. You might want to check out some overviews that we have put together on those methods. We work on quantum algorithms, mainly for quantum chemistry. One of our focuses is to use quantities in density functional theory to do that, although we also solve problems with a class of entanglement renormalization techniques (DMRG).
We are grateful for funding through the Canada Research Chairs (CRC; «Chaire de recherche du canada») program and by the Natural Sciences and Engineering Research Council (NSERC; «Conseil de recherches en science naturelles et en génie du canada (CRSNG)»). We also use a computer cluster based on ARM technology provided through the Canada Foundation for Innovation - John R. Evans Leaders Fund (CFI-JELF; «Fondation canadienne pour l'innovation - Fonds des leaders John R. Evans (FCI-FLJE)»).
Les qubits volants (2023 & 2024)
Group members:
Role/notes; Last known whereabouts
Postdoctoral researchers:
Ph.D. students:
Jaimie Greasley
2023-Current
Anne Najdzionek
2023-Current
M.Sc. students:
Negar Seif
2022-Current
Jeffrey Morais
2025-Current
B.Sc. students:
Aaron Dayton
2023-Current
Eliza Partridge
2024-Current
Dominic Largoza
2024-Current
Kasey Chen
2025-Current
Raphael Kelly
2025-Current
Christopher Jones
2025-Current
Luca Adams
Summer 2025
Juan Sebastiàn Gomez Diaz
Summer 2025
Alumni
Role/notes; Last known whereabouts
Postdoctoral researchers:
Dr. Michael O. Flynn
2024-2025
M.Sc. students:
Matthew R.G. Forbes
2022-2025
Université de Strasbourg, France (Internship)
B.Sc. students:
Kiana Gallagher
2023-2024
Stanford (American Association of Physicists in Medicine Fellowship)
Group before the University of Victoria
Role/notes; Last known whereabouts
This is the page for our research, les qubits volants. This group was formed in 2018 and was listed on L'équipe de recherche en physique de l’information quantique (EPIQ, now InfoQ seminars) for group speaking spots at Université de Sherbrooke.
Some students are co-advised (thanks to David Sénéchal, Alexandre Blais, and David Poulin).
We make our own code and solve our own problems for a variety of systems. We also make some tutorials and introductions (en français aussi!) if you want to learn these methods for yourself. See our publications page!
Funding for students has been graciously provided by: Institut quantique, Institut Transdisciplinaire d'Information Quantique (INTRIQ), and the Département de physique de l'Université de Sherbrooke. This research was undertaken thanks in part to funding from the Canada First Research Excellence Fund (CFREF).
Les qubits volants (2019)
B.Sc. students:
Miles Marshall (2021)
Reading course (tensor networks)
Alex Arnold (2021)
Reading course (tensor networks)
Prosper Reulet (2020)
Reading course (tensor networks) and implementing algorithms
Martin Schnee, B.Sc. (2019)
Reading course (tensor networks); M.Sc. program (Université de Sherbrooke)
Samuel Desrosiers, B.Sc. (2019)
Reading course (tensor networks); M.Sc. program (Université de Sherbrooke)
Ovidiu E. Icreverzi, B.Sc. (2012)
Superconducting-magnetic proximity systems (co-advised with Andreas Bill); medical physics program at UCLA
M.Sc. students:
Martin P. Thompson, M.Sc. (2019)
Master's thesis on tensor network computations for entanglement (co-advised with Glen Evenbly); data scientist
Ph.D. students:
Agustin Di Paolo, Ph.D. (2020)
Tensor network algorithms for superconducting-circuit qubit models (co-advised with Alexandre Blais); postdoc at MIT
Alexandre Foley, Ph.D. (2020)
Tensor network algorithms for dynamical mean-field theory (DMFT) (co-advised with David Sénéchal); postdoc at Université de Sherbrooke
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