Please note that Microsoft QIO solvers are deprecated and are no longer available in Azure Quantum post-June 30th 2023. Toshiba solvers in Azure Quantum are also deprecated as of February 6, 2024.
These samples demonstrate the use of quantum-inspired optimization (QIO) in the Azure Quantum service.
Each sample is self-contained in a folder, and demonstrates how to use the QIO solver in Azure Quantum to solve a problem.
To run these samples, there are some prerequisites:
- Create an Azure Quantum Workspace
- Install Python on your system
- Install the
azure-quantumPython module - (Optional) Install Jupyter Notebook
- Toshiba SQBM+: This sample demonstrates how to submit a simple job with the Toshiba SQBM+ optimization solver in Azure Quantum.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.