https://github.com/cda-tum/mqt-qudit-compression
A tool for mapping qubits on a qudit architecture of preferred size
Science Score: 36.0%
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○CITATION.cff file
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✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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1 of 2 committers (50.0%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (19.2%) to scientific vocabulary
Repository
A tool for mapping qubits on a qudit architecture of preferred size
Basic Info
- Host: GitHub
- Owner: cda-tum
- License: mit
- Language: OpenQASM
- Default Branch: main
- Size: 129 KB
Statistics
- Stars: 20
- Watchers: 1
- Forks: 1
- Open Issues: 4
- Releases: 0
Metadata Files
README.md
[!WARNING] As of May 2024, this repository is no longer actively maintained. All code has been directly integrated into MQT Qudits. Development is expected to continue there. No new contributions will be accepted here.
MQT Qudit Compression - A Tool For Mapping Qubit Logic on Qudit Systems
A tool for mapping qubits on a qudit architecture of preferred size the Chair for Design Automation at the Technical University of Munich.
If you have any questions, feel free to contact us via quantum.cda@xcit.tum.de or by creating an issue on GitHub. For more information on Decision Diagrams, please visit www.cda.cit.tum.de/research/quantum_dd/.
System Requirements
Building (and running) is continuously tested under Linux, MacOS using the latest available system versions for GitHub Actions. The implementation is compatible with a minimimum version of Python 3.8.
Git is required for the installation process.
Setup, Build, and Run
The tool demands only for the resolution of dependencies, to solve run in terminal. Run the installation procedure through the script.
./installation.sh
In the first step, the installation script initiates with creation of the folders and subfolder for the storage of the solutions.
The second step consists in installing GCLU, the graph clustering algorithm used in the project.
Successively, the script creates a new python environment where the dependencies found in the "pyproject.toml" file are installed.
After the installation, import the qasm files required under the data folder, in a folder named "selected_data". Otherwise, please modify the links in configuration file "config.json".
The file contains the links to the data and solutions required by the scripts to run correctly. It is recommended to use absolute paths.
Usage
Remember to activate the python environment of the project, with the following lines in the terminal:
source compEnv/bin/activate
Once the qasm files are chosen, enter the scripts folder
cd src/scripts/
and run one of the scripts, as:
python3 MQT_COMPRESS_lev_con.py
The final outputs will be in the relative csv files.
References
K. Mato, S. Hillmich, R. Wille, "Compression of Qubit Circuits: Mapping to Mixed-Dimensional Quantum Systems", IEEE QSW 2023 : IEEE International Conference on Quantum Software
Owner
- Name: Chair for Design Automation, TU Munich
- Login: cda-tum
- Kind: organization
- Location: Germany
- Website: https://www.cda.cit.tum.de
- Repositories: 22
- Profile: https://github.com/cda-tum
The CDA provides expertise for all main steps in the design and realization of integrated circuits, embedded systems, as well as cyber-physical systems.
GitHub Events
Total
- Watch event: 7
- Push event: 61
Last Year
- Watch event: 7
- Push event: 61
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| kmato | k****o@t****e | 2 |
| Stefan Hillmich | h****h | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 1 year ago
All Time
- Total issues: 4
- Total pull requests: 3
- Average time to close issues: 4 days
- Average time to close pull requests: 7 minutes
- Total issue authors: 2
- Total pull request authors: 3
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 1
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- SimShady (3)
- burgholzer (1)
Pull Request Authors
- KevinMTO (2)
- pre-commit-ci[bot] (1)
- hillmich (1)