Research output per year
Research output per year
Project Details
| Acronym | QuantLearn |
|---|---|
| Status | Finished |
| Effective start/end date | 01/01/2022 → 31/12/2024 |
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Provable Quantum Algorithm Advantage for Gaussian Process Quadrature
Galvis-Florez, C. A., Farooq, A. & Särkkä, S., Feb 2025, In: Transactions on Machine Learning Research. 2025-February, p. 1-21 21 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access1 Citation (Scopus) -
Quantum-Assisted Gaussian Process Regression Using Random Fourier Features
Galvis-Florez, C. A., Farooq, A. & Sarkka, S., 2025, Proceedings - 2025 IEEE International Conference on Quantum Software, QSW 2025. Chang, R. N., Chang, C. K., Yang, J., Atukorala, N., Chen, D., Helal, S., Tarkoma, S., He, Q., Kosar, T., Ardagna, C., Feld, S., di Nitto, E. & Wimmer, M. (eds.). IEEE, p. 22-27 6 p. (Proceedings - 2025 IEEE International Conference on Quantum Software, QSW 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
Open Access -
Quantum-assisted Hilbert-space Gaussian process regression
Farooq, A., Galvis-Florez, C. A. & Särkkä, S., 7 May 2024, In: Physical Review A. 109, 5, 052410.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)52 Downloads (Pure)