Quantum Gaussian Process Regression for Bayesian Optimization

25 April 2023

Papers citing "Quantum Gaussian Process Regression for Bayesian Optimization"

5 / 5 papers shown

Title
QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting Abdallah Aaraba S. Cherkaoui Ola Ahmad J. Laprade Olivier Nahman-Lévesque Alexis Vieloszynski Shengrui Wang BDL AI4TS 23 1 0 21 Aug 2024
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 30 9 0 15 Nov 2023
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms D. Klau Marc-André Zöller C. Tutschku 10 3 0 06 Oct 2023
Reduction of finite sampling noise in quantum neural networks D. Kreplin Marco Roth 26 16 0 02 Jun 2023
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications Horst Stühler Marc-André Zöller D. Klau Alexandre Beiderwellen Bedrikow C. Tutschku 36 10 0 28 Apr 2023