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stat.CO2025
Quantum-assisted Gaussian process regression using random Fourier features
Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä
Probabilistic machine learning models are distinguished by their ability to integrate prior knowledge of noise statistics, smoothness parameters, and training data uncertainty. A c…
stat.CO2025
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature
Cristian A. Galvis-Florez, Ahmad Farooq, Simo Särkkä
The aim of this paper is to develop novel quantum algorithms for Gaussian process quadrature methods. Gaussian process quadratures are numerical integration methods where Gaussian…