Media Summary: Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... Speaker: Sofiene Jerbi Abstract: In this talk, I will present two recent works related to the question of Authors: Marco Ballarin, Juan José García-Ripoll, David Hayes and Michael Lubasch Abstract:

Qtml 2025 A Pac Bayesian Approach To Generalization For Quantum Models - Detailed Analysis & Overview

Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ... Speaker: Sofiene Jerbi Abstract: In this talk, I will present two recent works related to the question of Authors: Marco Ballarin, Juan José García-Ripoll, David Hayes and Michael Lubasch Abstract: Dive into Artificial Intelligence (AI) and Machine Learning (ML) with our latest video! Have you ever wondered how AI allows ... In this lecture, we present the fundamental concepts behind Sample-Based Unlock the future of Artificial Intelligence with

See for course description and additional materials. Abhinav Kandala, Principal Research Scientist at IBM, explores the concept of accurate In this course we will cover combinatorial optimization problems and In this video, we discuss the fundamentals of

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QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models
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QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models

QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models

Authors: Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber and Carlos Bravo-Prieto ...

QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations

QTML 2025: Shadows of quantum machine learning and shallow-depth learning separations

Speaker: Sofiene Jerbi Abstract: In this talk, I will present two recent works related to the question of

QTML 2025: Efficient quantum state preparation of multivariate functions using tensor networks

QTML 2025: Efficient quantum state preparation of multivariate functions using tensor networks

Authors: Marco Ballarin, Juan José García-Ripoll, David Hayes and Michael Lubasch Abstract:

AI Explained – The Bayesian Approach To Machine Learning

AI Explained – The Bayesian Approach To Machine Learning

Dive into Artificial Intelligence (AI) and Machine Learning (ML) with our latest video! Have you ever wondered how AI allows ...

A Deep Dive Into Sample-Based Quantum Diagonalization Methods: Javier Robledo Moreno | QGSS 2025

A Deep Dive Into Sample-Based Quantum Diagonalization Methods: Javier Robledo Moreno | QGSS 2025

In this lecture, we present the fundamental concepts behind Sample-Based

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Quantum Machine Learning (QML) Explained | Future of AI & Quantum Computing

Quantum Machine Learning (QML) Explained | Future of AI & Quantum Computing

Unlock the future of Artificial Intelligence with

Introduction to Quantum Simulation: Kaelyn Ferris | QGSS 2025

Introduction to Quantum Simulation: Kaelyn Ferris | QGSS 2025

Simulating

Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

See https://github.com/rmcelreath/stat_rethinking_2026 for course description and additional materials.

Accurate Quantum Computing in the Utility Era: Abhinav Kandala | QGSS 2025

Accurate Quantum Computing in the Utility Era: Abhinav Kandala | QGSS 2025

Abhinav Kandala, Principal Research Scientist at IBM, explores the concept of accurate

Bayesian Optimization

Bayesian Optimization

In this video, we explore

Solving Optimization Problems with Quantum Algorithms with Daniel Egger: Qiskit Summer School 2024

Solving Optimization Problems with Quantum Algorithms with Daniel Egger: Qiskit Summer School 2024

In this course we will cover combinatorial optimization problems and

How Do We Get MASSIVE Model To Run On Device? Quantization Explained.

How Do We Get MASSIVE Model To Run On Device? Quantization Explained.

Every time I do a video about a

How LLMs survive in low precision | Quantization Fundamentals

How LLMs survive in low precision | Quantization Fundamentals

In this video, we discuss the fundamentals of