Offre de services et projets

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