most citedGaussian Process Regression for Uncertainty Quantification: An Introductory Tutorial

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quant-ph2025

A quantum gradient descent algorithm for optimizing Gaussian Process models

Junpeng Hu, Jinglai Li, Lei Zhang +1

Gaussian Process Regression (GPR) is a nonparametric supervised learning method, widely valued for its ability to quantify uncertainty. Despite its advantages and broad application…