course
PennyLane Quantum Machine Learning Demos
Xanadu / Community
QAOA
3 courses · 9 tutorials
Courses
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course
A Practical Introduction to Quantum Computing (CERN)
Prof. Elias Fernandez-Combarro Alvarez, University of Oviedo
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course
Quantum Optimization with IBM Quantum (openHPI)
Hasso Plattner Institute / IBM Quantum
Free Tutorials
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- 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.
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- intermediate
- 30 min read
QAOA for MaxCut: A Complete Qiskit Walkthrough
Build the Quantum Approximate Optimization Algorithm from scratch in Qiskit to solve MaxCut on small graphs. Understand the circuit structure, cost function, and how to tune the depth parameter p.
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- intermediate
- 25 min read
QAOA: Quantum Approximate Optimisation Algorithm with PennyLane
Implement the Quantum Approximate Optimisation Algorithm to solve the MaxCut graph problem using PennyLane, and understand how QAOA bridges quantum computing and combinatorial optimisation.
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- intermediate
- 15 min read
Portfolio Optimization with Qiskit and QAOA
Formulate mean-variance portfolio optimization as a QUBO, solve it with QAOA using Qiskit Optimization, and compare results against the classical Markowitz efficient frontier.
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- intermediate
- 14 min read
Quantum-Classical Hybrid Jobs on Amazon Braket
Run variational quantum algorithms using Amazon Braket Hybrid Jobs: managed classical compute + quantum access in one job, with checkpointing and cost tracking.
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- intermediate
- 15 min read
QAOA for Max-Cut with PennyLane
Implement the Quantum Approximate Optimization Algorithm for the Max-Cut problem in PennyLane: graph encoding, cost Hamiltonian, circuit construction, and parameter optimization.
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- intermediate
- 50 minutes
Solving Max-Cut with QAOA in Qiskit: A Practical Guide
Build a complete Max-Cut solver using QAOA in Qiskit Optimization. Covers graph construction with NetworkX, QuadraticProgram formulation, QAOA via MinimumEigenOptimizer, and how solution quality changes with circuit depth p.
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- intermediate
- 15 min read
Solving Optimization Problems with Qiskit Optimization
Use Qiskit's optimization module to formulate and solve combinatorial problems: Max-Cut, knapsack, and TSP using QAOA and the MinimumEigenOptimizer.
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- intermediate
- 20 min read
QAOA for Max-Cut in Cirq
Implement the Quantum Approximate Optimization Algorithm to solve a small Max-Cut problem using Cirq, with parameterized circuits and classical optimization.