Sofiene Jerbi Quantum Machine Learning Beyond Kernel Methods

By Editorial Team · October 20, 2026 · 5 min read

Sofiene Jerbi Quantum Machine Learning Beyond Kernel Methods Information Guide

  1. Overview on Sofiene Jerbi Quantum Machine Learning Beyond Kernel Methods
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Overview on Sofiene Jerbi Quantum Machine Learning Beyond Kernel Methods

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Quantum machine learning beyond kernel methods Update
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Details Quantum Machine Learning - 28 - Kernel Methods Update
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Quantum Machine Learning - 33 - Quantum-Enhanced Kernel Methods 2 (Maria Schuld)
Quantum Machine Learning - 33 - Quantum-Enhanced Kernel Methods 2 (Maria Schuld)
Quantum policy gradient algorithms - Sofiene Jerbi | TQC 2023
Quantum policy gradient algorithms - Sofiene Jerbi | TQC 2023
Quantum Machine Learning Explained
Quantum Machine Learning Explained
Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
WEBINAR Quantum Machine Learning & Data Visualization
WEBINAR Quantum Machine Learning & Data Visualization
Machine Learning Foundations/Techniques: Kernel Support Vector Machine (QA after Gaussian Kernel)
Machine Learning Foundations/Techniques: Kernel Support Vector Machine (QA after Gaussian Kernel)
Machine Learning for Quantum Simulation - George Booth (June 23, 2020)
Machine Learning for Quantum Simulation - George Booth (June 23, 2020)
Quantum machine learning beyond parametrized quantum circuits: Quantum Gaussian Processes
Quantum machine learning beyond parametrized quantum circuits: Quantum Gaussian Processes
Machine Learning with Continuous Variable Quantum Kernels: A Toolkit — Laura Henderson
Machine Learning with Continuous Variable Quantum Kernels: A Toolkit — Laura Henderson

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Last Updated: October 20, 2026

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Quantum machine learning beyond quantum kernels and with smaller circuits Update
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Recorded 17 October 2023. Zoe Holmes of Ecole Polytechnique Fédérale de Lausanne presents "Exponential Concentration in ... This virtual conference brings together the fast-growing community of researchers from condensed matter physics,

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