Services and projects
The Quantum AlgoLab offers a range of services to help you develop your pathway in quantum computing. We work with a number of industrial and academic partners on collaborative research projects. Our services include different forms of support depending on the level of investment, whether it's an in-company seminar to learn more, or an exploratory project with an intern and research professional to explore the potential of quantum computing in your field.
Investing in quantum computing today can help you develop your expertise, model a case study, identify high-potential quantum algorithms, determine implementation challenges specific to your field and find solutions tailored to your organization's reality.
NRC and l'Université de Montréal | Improved energy estimation with Green’s function
January 2025 - ongoing
AMF and École de gestion | Segregated fund valuation
January 2025 - November 2025
Limiting Trotter's Infidelity
September 2024 - ongoing
![[Translate to English:] Cover fonction green](/iq/fileadmin/_processed_/5/b/csm_Image_projet_Green_306dc642d0.jpeg)
IBM | Calculation of Green's functions for the Heisenberg model
September 2024 - ongoing
AlgoLab | Variational evolution in imaginary time (VarQITE)
September 2023 - ongoing
Thales, Zetane and Polytechnique Mtl | Anomaly detection in data networks
November 2022 - March 2026
Algolab | PauliArray
December 2023 - ongoing
SCIL & MINi Lab | Quantum computing for tractography
August 2023 - August 2025
Alexandre Blais group | Trotter error estimation
February 2023 - ongoing
![[Translate to English:] Cover projet geomatique](/iq/fileadmin/_processed_/b/5/csm_Image_Projet_geomatique_268646a905.png)
Geomatics | QML applied to geospatial data
December 2022 - Septembre 2024
![[Translate to English:] cover projet RNCan](/iq/fileadmin/_processed_/4/a/csm_Image_Projet_RNCan_8cff67dce0.png)
Natural Resources Canada | Hyperparameter optimization using quantum genetic algorithms
November 2023 - March 2024
![[Translate to English:] cover projet finance](/iq/fileadmin/_processed_/f/1/csm_Images_Projet_Finance_94d19448ae.png)
École de Gestion | Quantum Finance (2) Preparation of states and weighted average
May 2022 - January 2023
![[Translate to English:] Cover projet Thales](/iq/fileadmin/_processed_/f/2/csm_Images_Projet_thales_2979222d9d.png)
Thales | Time series classification
January 2022 - June 2022
![[Translate to English:] cover projet LHM](/iq/fileadmin/_processed_/3/5/csm_Image_projet_geomatic_5a2d17684d.png)
Lockheed Martin | Scaling up quantum optimization applications using NISQ systems
October 2021 - October 2022
![[Translate to English:] cover projet stats can](/iq/fileadmin/_processed_/3/0/csm_Images_Projet_StatsCanada_46bf7ed286.png)
Statistics Canada | Text classification with QML
April 2021 - October 2021
![[Translate to English:] Cover projet DRDC](/iq/fileadmin/_processed_/0/2/csm_Image_projet_DRDC_faf59960a7.png)
DRDC | Quantum Computing Research Roadmap for Canadian Defence Challenges
February 2021 - March 2022
![[Translate to English:] Cover BdC](/iq/fileadmin/_processed_/2/f/csm_Image_Projet_BdC_7ebfc21dbe.png)
Bank of Canada | Quantum optimization of the banknote distribution system
January 2022 - December 2022
Publications
1. Clenet, Maxime, Dion, Maxime, Blanchet, Guillaume. “Addressing ecological challenges from a quantum computing perspective.” Cornell University, 2025. arxiv.org/abs/2504.03866
2. Hammami, Wajdi, et al.“Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series” 2025 The 21st International Wireless Communications & Mobile Computing Conference (IWCMC) https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/qtc2.12088
3. Vieloszynski, Alexis, et al. "LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder." 2024 IEEE 10th World Forum on Internet of Things (WF-IoT). IEEE, 2024. arXiv:2409.14622
4. Aaraba, Abdallah, et al. "QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting." 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). Vol. 1. IEEE, 2024. arXiv:2408.12007
5. B. Gauthier, P. Rosenberg, A. Foley, and M. Charlebois. “Occupation-number quantum-subspace-expansion approach to computing the single-particle Green function: An opportunity for noise filtering.” 2024 Physical Review A 110. https://doi.org/10.1103/PhysRevA.110.032624
6. Gince, Jérémie, et al. “Fermionic Machine Learning. IEEE International Conference on Quantum Computing and Engineering.” 2024. IEEE https://ieeexplore.ieee.org/document/10821385
7. Dion, Maxime, Balebbas, Tania et Nolan Bastien: “Efficiently manipulating Pauli strings with PauliArray.” submitted to IEEE Quantum Week. 2024 https://arxiv.org/abs/2405.19287
8. Côté, Jérémy, Kourtis, Stefanos et al. “Postselection-free experimental observation of the measurement-induced phase transition in circuits with universal gates” https://arxiv.org/abs/2502.01735
9. Foley, A. “Liouvillian recursion method for the electronic Green’s function” Cornell University, 2024 arXiv. https://doi.org/10.48550/arXiv.2401.02527