Introduction to Quantum Computing (Qubit by Qubit)
Qubit by Qubit instructors (Stanford PhDs)
quantum machine learning
5 courses · 9 tutorials
Courses
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A Practical Introduction to Quantum Computing (CERN)
Prof. Elias Fernandez-Combarro Alvarez, University of Oviedo
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Quantum Machine Learning with IBM Quantum (openHPI)
Hasso Plattner Institute / IBM Quantum Research
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Classiq Quantum Computing Tutorials
Classiq engineering and research team
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Introduction to Quantum Programming (IonQ Lecture Series)
IonQ Researchers
Free Tutorials
- →
- 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.
- →
- 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.
- →
- intermediate
- 30 min read
Quantum Kernels and Support Vector Machines with PennyLane
Learn how to build quantum kernel functions with PennyLane, use them with scikit-learn's SVM, and understand when quantum kernels might offer an advantage over classical kernels, with a full working classification example.
- →
- intermediate
- 20 min read
Quantum Machine Learning with PennyLane: Your First Classifier
Build a quantum classifier using PennyLane's parameterized circuits and train it to classify a simple dataset using gradient descent.
- →
- advanced
- 45 min
Quantum GANs with PennyLane
Build a quantum generative adversarial network in PennyLane with a quantum generator and classical discriminator.
- →
- intermediate
- 20 min read
Hello World with TensorFlow Quantum
Build your first hybrid quantum-classical machine learning model with TensorFlow Quantum - create a parameterized circuit, wrap it as a Keras layer, and train it with gradient descent.
- →
- advanced
- 16 min read
Quantum Transfer Learning with PennyLane
Combine a classical pre-trained CNN with a parameterized quantum circuit for image classification using PennyLane's quantum transfer learning technique.
- →
- 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.
- →
- intermediate
- 20 min read
Using PennyLane with Amazon Braket
Connect PennyLane to Amazon Braket backends to run hybrid quantum-classical workflows, from local simulation to IonQ trapped-ion hardware.