azure-quantum-tgp
Code and notebooks to showcase experimental results from Azure Quantum hardware team
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, aps.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.5%) to scientific vocabulary
Repository
Code and notebooks to showcase experimental results from Azure Quantum hardware team
Basic Info
- Host: GitHub
- Owner: microsoft
- License: other
- Language: Python
- Default Branch: main
- Size: 1.23 MB
Statistics
- Stars: 46
- Watchers: 21
- Forks: 18
- Open Issues: 2
- Releases: 2
Metadata Files
README.md
Topological gap protocol: azure-quantum-tgp
This code performs the analysis as reported in "InAs-Al Hybrid Devices Passing the Topological Gap Protocol" by Microsoft Azure Quantum.
The paper is available on 10.1103/PhysRevB.107.245423 and arXiv:2207.02472.
See the Jupyter notebooks * notebooks/stage-one-analysis.ipynb as a step-by-step example of the Stage 1 analysis, * notebooks/stage-two-analysis.ipynb as a step-by-step example of the Stage 2 analysis, * notebooks/yield-analysis.ipynb which performs the yield analysis on a large set of simulation data, * notebooks/fridge-calibration.ipynb which shows the fridge calibration data used for high-frequency corrections, * and notebooks/paper-figures.ipynb which performs all the analysis and generates the plots that appear in the paper.
Data
We store the raw data in this repository using Git LFS in the data/ folder.
Install Git LFS before cloning this repository.
The data/simulated/yield folder is 17 GB and is only used in the notebooks/yield-analysis.ipynb Jupyter notebook.
To clone the repo without this data, use (with ssh):
bash
git lfs clone git@github.com:microsoft/azure-quantum-tgp.git --exclude="data/simulated/yield"
or with https:
bash
git lfs clone https://github.com/microsoft/azure-quantum-tgp.git --exclude="data/simulated/yield"
Installation
Install azure-quantum-tgp from PyPI with
bash
pip install azure-quantum-tgp
or clone this repository and do a developer install with
conda create --name tgp python=3.10 # create a new conda env
conda activate tgp
pip install -e ".[test]"
Contributing
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.
Trademarks
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.
Owner
- Name: Microsoft
- Login: microsoft
- Kind: organization
- Email: opensource@microsoft.com
- Location: Redmond, WA
- Website: https://opensource.microsoft.com
- Twitter: OpenAtMicrosoft
- Repositories: 7,257
- Profile: https://github.com/microsoft
Open source projects and samples from Microsoft
GitHub Events
Total
- Create event: 4
- Commit comment event: 1
- Issues event: 1
- Watch event: 9
- Delete event: 4
- Issue comment event: 3
- Member event: 2
- Push event: 9
- Pull request review comment event: 3
- Pull request review event: 6
- Pull request event: 6
- Fork event: 8
Last Year
- Create event: 4
- Commit comment event: 1
- Issues event: 1
- Watch event: 9
- Delete event: 4
- Issue comment event: 3
- Member event: 2
- Push event: 9
- Pull request review comment event: 3
- Pull request review event: 6
- Pull request event: 6
- Fork event: 8
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 1
- Total pull requests: 9
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Total issue authors: 1
- Total pull request authors: 4
- Average comments per issue: 0.0
- Average comments per pull request: 0.33
- Merged pull requests: 8
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 1
- Pull requests: 6
- Average time to close issues: N/A
- Average time to close pull requests: 4 days
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- michaelwimmer (1)
Pull Request Authors
- aeantipov (5)
- dependabot[bot] (2)
- kkalashnikovmsft (2)