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.
One research thread we have is to find new quantum algorithms and ways to apply them.
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 (2025)
Group members:
Time in group*
Role/notes
Ph.D. students:
Jaimie Greasley
2023-Current
Quantum chemistry on the quantum computer
Anne Najdzionek
2023-Current
Quantum many-body theory
M.Sc. students:
Jeffrey Morais
2025-Current
Quantum networks
Juan Sebastián Gomez Diaz
2025-Current
Entanglement renormalization
B.Sc. students:
Aaron Dayton
2023-Current
Complex systems
Dominic Largoza
2024-Current
Quantum error-correction
Luca D. Adams
2025-Current
Quantum algorithms
Katerin Tatiana Vargas Salcedo
2026-Current
Quantum linear systems
Jorge Abraham Ordóñez Madrid
2026-Current
Low-dimensional entangled systems
Alumni
Time in group*
Last known whereabouts
M.Sc. students:
Negar Seif 2022-2026 Teaching position/Research internship
Matthew R.G. Forbes 2022-2025 Internship at Université de Strasbourg, France
B.Sc. students:
Eliza Partridge 2024-2026
Kasey Chen 2025-2026 Internship at University of British Columbia
Nirek Brahmbhatt 2025-2026 Internship at Stewart Blussom Quantum Matter Institute
Christopher Jones Summer 2025
Raphael Kelly Summer 2025 Internship at Stewart Blussom Quantum Matter Institute
Kiana Gallagher 2023-2024 M.Sc. at University of Toronto; Stanford (AAPM Fellowship)
Postdoctoral researchers:
Dr. Michael O. Flynn
2024-2025
Research Scientist at BlocQ
*-Time in group denotes total time in the group, but only the highest degree obtained is reported. So, some reported times will include time in an M.Sc., B.Sc., or even Ph.D.
Average times for each degree are reported here:
B.Sc. - 1-3 years depending on whether the person wants to publish with us and how they like the field
M.Sc. - 2 years
Ph.D. - 4 years
Postdoc - based on funding
I do not distinguish between fields here (Chemistry/Physics/etc.) since the field of quantum information is so broad. This page represents the team, each with their own individual accomplishments that are novel and new.
Group before the University of Victoria
Role/notes; Last known whereabouts
B.Sc. students:
Role/notes; Last known whereabouts
Miles Marshall
Alex Arnold
Prosper Reulet
Martin Schnee
Samuel Desrosiers
Ovidiu E. Icreverzi
2021
2021
2020
2019
2019
2012
Reading course (tensor networks)
Reading course (tensor networks)
Reading course (tensor networks) and implementing algorithms
M.Sc. program (Université de Sherbrooke)
M.Sc. program (Université de Sherbrooke)
Superconducting-magnetic proximity systems (co-advised with Andreas Bill); medical physics program at UCLA
M.Sc. students:
Martin P. Thompson (2019)
Master's thesis on tensor network computations for entanglement (co-advised with Glen Evenbly); data scientist
Ph.D. students:
Agustin Di Paolo (2020)
Alexandre Foley (2020)
Postdoc at MIT; Google Quantum AI
Postdoc at Université de Sherbrooke