Abdallah Aaraba, Soumaya Cherkaoui
, Ola Ahmad, Jean-Frédéric Laprade, Olivier Nahman-Lévesque, Alexis Vieloszynski and Shengrui Wang
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/62433/ |
| Conference Title: | IEEE International Conference on Quantum Computing and Engineering (QCE 2024) |
| Conference Location: | Montreal, QC, Canada |
| Conference Date(s): | 2024-09-15 - 2024-09-20 |
| Journal Title: | 2024 IEEE International Conference on Quantum Computing and Engineering (QCE) |
| Publisher: | IEEE |
| DOI: | 10.1109/qce60285.2024.00190 |
| Official URL: | https://doi.org/10.1109/qce60285.2024.00190 |
| Date Deposited: | 30 Jan 2025 10:39 |
| Last Modified: | 08 Apr 2025 07:30 |
| Cite in APA 7: | Aaraba, A., Cherkaoui, S., Ahmad, O., Laprade, J.-F., Nahman-Lévesque, O., Vieloszynski, A., & Wang, S. (2024, September). QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting [Paper]. IEEE International Conference on Quantum Computing and Engineering (QCE 2024), Montreal, QC, Canada. Published in 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). https://doi.org/10.1109/qce60285.2024.00190 |
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