PennyLane
PennyLane Codebook: Interactive Quantum Computing Lessons
Xanadu / PennyLane Team
PennyLane's browser exercises. 15 modules, from qubits and gates through Grover, Shor, error correction, and variational algorithms.
Topic
Variational Circuits
4 courses · 6 tutorials
Courses
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PennyLane
PennyLane Quantum Machine Learning Demos
Xanadu / Community
Xanadu's collection of hundreds of interactive PennyLane tutorials, including 50+ quantum machine learning demos covering VQE, QAOA, quantum kernels, quantum neural networks, and more.
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Udemy
The Complete Quantum Computing Course with Python [2025]
Hoang Quy La
Udemy course by Hoang Quy La. Qubits, gates, and circuits in Python with Cirq and Qiskit, then Deutsch-Jozsa, Grover, the QFT, phase estimation, variational circuits, and a short section on error correction.
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IBM Quantum
Quantum Machine Learning (IBM Learning)
IBM's free ten-hour Quantum Learning course on quantum methods in machine learning, including variational quantum classifiers and quantum neural networks implemented in Qiskit.
Free Tutorials
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- advanced
- 70 minutes
Noise-Aware Training for Variational Quantum Circuits
Train variational quantum circuits directly on realistic noise models using PennyLane. Compare circuits trained with and without noise, insert depolarizing and amplitude damping channels, and apply noise injection techniques to improve real hardware performance.
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- intermediate
- 17 min read
Hybrid Quantum-Classical Optimization Loops with PennyLane and PyTorch
Build a complete hybrid quantum-classical optimization pipeline: PennyLane QNode wrapped as a PyTorch layer, automatic differentiation through quantum circuits, Adam optimizer training on a binary classification task, and comparison to classical logistic regression.
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- beginner
- 12 min read
PennyLane Hello World
Run your first differentiable quantum circuit in PennyLane. Build a Bell state, compute gradients, and see why PennyLane is the go-to framework for quantum ML.
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- intermediate
- 16 min read
Introduction to Quantum Machine Learning
A conceptual and practical introduction to quantum machine learning: what QML is, data encoding strategies, parameterized quantum circuits, and a complete classification example.
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- advanced
- 35 min
Diagnosing and Avoiding Barren Plateaus in PennyLane
Understand why barren plateaus occur in deep variational circuits, how to detect them in PennyLane, and practical strategies to avoid them including layerwise training and structured ansatze.
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- intermediate
- 55 minutes
Quantum Machine Learning on Amazon Braket
Train a variational quantum classifier on the Iris dataset using PennyLane with the Amazon Braket backend, including local simulation, SV1 managed simulator, and Hybrid Jobs for persistent classical-quantum training loops.