PennyLane
Course Index
29 Lessons · 3 Sections
Master PennyLane — the quantum ML framework by Xanadu. Differentiable quantum circuits, PyTorch & JAX integration, VQE, QAOA & quantum kernels. Covers PennyLane Catalyst JIT, barren plateaus & 4 QML builds.
29Lessons
3Sections
4Projects
FreeAccess
Section 1PennyLane Foundations & Variational CircuitsLessons 1–10
Lesson 1
What is PennyLane?
Lesson 2
PennyLane Setup & Devices
Lesson 3
QNodes: Quantum Functions
Lesson 4
Wires, Gates & Operations
Lesson 5
Measurements & Observables
Lesson 6
Variational Quantum Circuits (VQC)
Lesson 7
Gradient Methods: Parameter Shift Rule
Lesson 8
Optimisers in PennyLane
Lesson 9
Differentiable Programming
Lesson 10
Data Encoding Strategies
Section 2QNNs, Classical Integration & Advanced QMLLessons 11–22
Lesson 11
Quantum Neural Networks (QNN)
Lesson 12
PennyLane + PyTorch Integration
Lesson 13
PennyLane + TensorFlow Integration
Lesson 14
PennyLane + JAX
Lesson 15
Quantum Transfer Learning
Lesson 16
Variational Quantum Eigensolver (VQE)
Lesson 17
QAOA with PennyLane
Lesson 18
Quantum Kernels & SVMs
Lesson 19
Barren Plateaus
Lesson 20
Hardware-Agnostic Development
Lesson 21
PennyLane Catalyst: JIT Compilation
Lesson 22
Noise Simulation in PennyLane
Section 3Generative Models, Error Mitigation & ProjectsLessons 23–29