Quantum Machine Learning Courses and Certifications

MIT HAN Lab

Noise-Robust Quantum Machine Learning - Lecture 23

Explore noise-robust quantum machine learning techniques for efficient deep learning applications on resource-constrained devices, including quantum computing implementations.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Quantum-Assisted Machine Learning with Near-Term Quantum Devices

Explore quantum-assisted machine learning applications for near-term devices, focusing on generative models in unsupervised and semi-supervised learning. Discover recent experimental implementations.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Software for Quantum Machine Learning

Explore quantum machine learning algorithms, adapting deep learning concepts to train quantum computers using familiar tools like TensorFlow and PyTorch.

• YouTube
• 34 minutes
• On-Demand
• Free Video

All Things Open

Quantum Machine Learning - Cutting Through the Buzzword BS

Explore the intersection of quantum computing and machine learning, examining QML's viability, progress, and challenges. Learn how ML developers can contribute to open-source QML projects like Qiskit Machine Learning.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Simons Institute

Analog Quantum Machine Learning for Near-Term Hardware

Explore analog quantum machine learning's potential on current hardware for cognitive tasks, energy calculations, and quantum metrology enhancements using programmable quantum simulators.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Xanadu

Towards Geometric Quantum Machine Learning

Explore geometric approaches to quantum machine learning with insights from a Los Alamos National Laboratory scientist.

• YouTube
• 45 minutes
• On-Demand
• Free Video

Advanced Cyberinfrastructure Training at RPI

Quantum Machine Learning with Covalent

Explore quantum machine learning using Covalent, gaining insights into advanced computational techniques and their applications in data analysis and problem-solving.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

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
• On-Demand
• 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
• On-Demand
• Free Video

ICTP-SAIFR

Prospects and Challenges for Quantum Machine Learning - Class 3

Explore prospects and challenges of quantum machine learning with Marco Cerezo, delving into cutting-edge research and potential applications in this advanced lecture.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

ICTP-SAIFR

Characterizing Networks and Phase Transitions with Classical and Quantum Machine Learning

Explore network characterization and phase transitions using classical and quantum machine learning techniques in this comprehensive lecture by Rafael Chaves.

• YouTube
• 1 hour 57 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Galileo Galilei Institute (GGI)

Shadows of Quantum Machine Learning and Shallow-Depth Learning Separations

Explore quantum machine learning's shadow methods and discover how shallow-depth circuits create fundamental separations in computational learning theory.

• YouTube
• 56 minutes
• On-Demand
• Free Video

MIT HAN Lab

Quantum Machine Learning: Parameterized Quantum Circuits and Training - Lecture 23

Delve into quantum machine learning fundamentals, covering parameterized quantum circuits, training methods, classifiers, and practical implementations using TorchQuantum library.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video