Quantum Machine Learning Courses and Certifications

ICTP-SAIFR

Prospects and Challenges for Quantum Machine Learning - Class 2

Explore prospects and challenges of quantum machine learning with Marco Cerezo, delving into advanced concepts and potential applications in this comprehensive lecture.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

ICTP-SAIFR

Prospects and Challenges for Quantum Machine Learning - Class 1

Explore the potential and obstacles of quantum machine learning with Marco Cerezo, delving into cutting-edge research and applications in this emerging field.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

Data Science Conference

Quantum Machine Learning with Superconducting Circuits

Explore how quantum neuromorphic computing leverages superposition and entanglement for information processing, and learn about machine learning algorithms that utilize quantum coherences.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

AWS Events

Learn How Rigetti Built Quantum Machine Learning Models on Amazon Braket

Discover how to build quantum machine learning applications for financial data analysis using Amazon Braket, featuring Rigetti's experiment that combines quantum computing with classical machine learning methods on AWS.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

Machine Learning Using Quantum Light

Explore how quantum light properties enable advanced machine learning algorithms and computational advantages in this interdisciplinary physics approach.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Centre for Quantum Technologies

Shadows of Quantum Machine Learning and Shallow-Depth Learning Separations

Explore quantum machine learning advantages through hybrid models requiring quantum resources only during training, plus unconditional learning benefits in shallow-depth circuits.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Centre for Quantum Technologies

Fourier Fingerprints of Ansatzes in Quantum Machine Learning

Explore Fourier fingerprints to predict optimal ansatz performance in quantum machine learning before training, with applications to jet reconstruction in high-energy physics.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Centre for Quantum Technologies

Scalable Quantum Machine Learning Models in Fourier Space

Discover how Fourier analysis enables massively scalable quantum machine learning models, training on classical hardware with thousands of qubits and millions of parameters.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Centre for Quantum Technologies

Designing Quantum Machine Learning Models for Graphs

Explore geometric quantum machine learning models for graph datasets, understanding their design principles and benefits over classical approaches.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Centre for Quantum Technologies

Kernel-based Dequantization of Variational Quantum Machine Learning

Discover kernel-based methods for dequantizing quantum machine learning models using trigonometric kernels and Random Fourier Features to match quantum circuit performance classically.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Quantum Computing and Quantum Machine Learning - Part 1

721 ratings at Udemy

Foundational Course for Quantum Computing and Quantum Machine Learning

• Udemy
• 2 hours 33 minutes
• Self-Paced
• Paid Course

Quantum Computing and Quantum Machine Learning - Part 2

263 ratings at Udemy

Introduction to Quantum Principles, Quantum Gates and Quantum Programming

• Udemy
• 2 hours 2 minutes
• Self-Paced
• Paid Course

Institute for Pure & Applied Mathematics (IPAM)

Mathematical Aspects of Quantum Learning Workshop 2023

Explore the intersection of quantum computing and machine learning through expert talks on quantum algorithms, data processing, and mathematical foundations.

• YouTube
• 18 hours 23 minutes
• Self-Paced
• Free Video

Hackaday

Quantum Computing - Guest Lecture

Explore quantum machine learning with Dr. Maria Schuld, covering linear models, deep learning, quantum software, and the intersection of quantum computing and AI.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Dequantization and Quantum Advantage in Learning from Experiments - IPAM at UCLA

Explore quantum advantage in data processing, learning from experiments, and dequantization. Discover how quantum technology can revolutionize experimental data acquisition and analysis in various scientific tasks.

• YouTube
• 32 minutes
• Self-Paced
• Free Video