Solve a job shop scheduling optimization problem by using Azure Quantum
Learn how to use the Azure Quantum optimization service to solve a job shop scheduling problem.
Learning objectives
After completing this module, you'll be able to:
- Identify and build problem constraints for the job shop scheduling problem
- Convert problem constraints to a penalty model
- Learn how to represent the penalty model using Azure Quantum
- Solve optimization problems using Azure Quantum
Prerequisites
- The latest version of the Python SDK for Azure Quantum
- Jupyter Notebook
- An Azure Quantum workspace
If you don't have these tools yet, we recommend that you follow the Get started with Azure Quantum module first.