Quantum ML
Course Index
29 Lessons · 3 Sections
Master Quantum Machine Learning — from feature maps and variational circuits to QSVM, QNNs, QGANs and quantum kernels. Implements in both Qiskit & PennyLane. Covers dequantization, drug discovery, finance & 4 production builds.
29Lessons
3Sections
4Projects
FreeAccess
Section 1QML Foundations, QNN & TrainingLessons 1–10
Lesson 1
What is Quantum Machine Learning?
Lesson 2
QML vs Classical ML: Where QML Shines
Lesson 3
Quantum Feature Maps & Hilbert Space
Lesson 4
Data Encoding in QML
Lesson 5
Variational Quantum Circuits for ML
Lesson 6
The Parameter-Shift Rule in QML
Lesson 7
Quantum Neural Networks (QNN)
Lesson 8
QNN Architectures
Lesson 9
Training QNNs: Optimisers & Strategies
Lesson 10
Barren Plateaus Problem
Section 2Quantum Kernel Methods & Generative ModelsLessons 11–22
Lesson 11
Quantum Support Vector Machines (QSVM)
Lesson 12
Quantum Kernel Methods
Lesson 13
The Swap Test
Lesson 14
Quantum k-Nearest Neighbours
Lesson 15
Quantum PCA & Dimensionality Reduction
Lesson 16
Quantum Generative Adversarial Networks
Lesson 17
Quantum Boltzmann Machines
Lesson 18
Quantum Transfer Learning
Lesson 19
Quantum Reinforcement Learning
Lesson 20
Dequantization: Tang & Classical Limits
Lesson 21
QML with Qiskit Machine Learning
Lesson 22
QML with PennyLane
Section 3Applications & ProjectsLessons 23–29