mqt.qusat 1.4.0

MQT QuSAT - A Tool for Utilizing SAT in Quantum Computing

[!NOTE] This project is currently in low maintenance mode. We will still fix bugs and accept pull requests, but we will not actively develop new features.

MQT QuSAT - A Tool for Utilizing SAT in Quantum Computing

MQT QuSAT is a tool for utilizing satisfiablity testing (SAT) techniques in quantum computing. It is part of the Munich Quantum Toolkit (MQT).

Key Features

• Encode Clifford circuits in SAT
• Check the equivalence of Clifford circuits using SAT

If you have any questions, feel free to create a discussion or an issue on GitHub.

Contributors and Supporters

The Munich Quantum Toolkit (MQT) is developed by the Chair for Design Automation at the Technical University of Munich and supported by the Munich Quantum Software Company (MQSC). Among others, it is part of the Munich Quantum Software Stack (MQSS) ecosystem, which is being developed as part of the Munich Quantum Valley (MQV) initiative.

Thank you to all the contributors who have helped make MQT QuSAT a reality!

The MQT will remain free, open-source, and permissively licensed—now and in the future. We are firmly committed to keeping it open and actively maintained for the quantum computing community.

To support this endeavor, please consider:

• Starring and sharing our repositories: https://github.com/munich-quantum-toolkit
• Contributing code, documentation, tests, or examples via issues and pull requests
• Citing the MQT in your publications (see Cite This)
• Citing our research in your publications (see References)
• Using the MQT in research and teaching, and sharing feedback and use cases
• Sponsoring us on GitHub: https://github.com/sponsors/munich-quantum-toolkit

Getting Started

mqt.qusat is available via PyPI.

(.venv) $ pip install mqt.qusat

Detailed documentation and examples are available at ReadTheDocs.

System Requirements

Building the project requires a C++ compiler with support for C++20 and CMake 3.24 or newer. For details on how to build the project, please refer to the documentation. Building (and running) is continuously tested under Linux, macOS, and Windows using the latest available system versions for GitHub Actions. MQT QuSAT is compatible with all officially supported Python versions.

The SMT Solver Z3 >= 4.8.3 has to be installed and the dynamic linker has to be able to find the library. This can be accomplished in a multitude of ways:

• Under Ubuntu 20.04 or newer: sudo apt-get install libz3-dev
• Under macOS: brew install z3
• Alternatively: pip install z3-solver and then append the corresponding path to the library path (LD_LIBRARY_PATH under Linux, DYLD_LIBRARY_PATH under macOS), e.g., via

  export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$(python -c "import z3; print(z3.__path__[0]+'/lib')")
  

• Download pre-built binaries from https://github.com/Z3Prover/z3/releases and copy the files to the respective system directories
• Build Z3 from source and install it to the system

Cite This

Please cite the work that best fits your use case.

MQT QuSAT (the tool)

When citing the software itself or results produced with it, cite the MQT QuSAT paper:

@inproceedings{berent2022sat,
  title        = {Towards a {{SAT}} Encoding for Quantum Circuits: {{A}} Journey From Classical Circuits to {{Clifford}} Circuits and Beyond},
  author       = {Berent, Lucas and Burgholzer, Lukas and Wille, Robert},
  year         = {2022},
  booktitle    = {International Conference on Theory and Applications of Satisfiability Testing},
  doi          = {10.4230/LIPIcs.SAT.2022.18}
}

The Munich Quantum Toolkit (the project)

When discussing the overall MQT project or its ecosystem, cite the MQT Handbook:

@inproceedings{mqt,
  title        = {The {{MQT}} Handbook: {{A}} Summary of Design Automation Tools and Software for Quantum Computing},
  shorttitle   = {{The MQT Handbook}},
  author       = {Wille, Robert and Berent, Lucas and Forster, Tobias and Kunasaikaran, Jagatheesan and Mato, Kevin and Peham, Tom and Quetschlich, Nils and Rovara, Damian and Sander, Aaron and Schmid, Ludwig and Schoenberger, Daniel and Stade, Yannick and Burgholzer, Lukas},
  year         = 2024,
  booktitle    = {IEEE International Conference on Quantum Software (QSW)},
  doi          = {10.1109/QSW62656.2024.00013},
  eprint       = {2405.17543},
  eprinttype   = {arxiv},
  addendum     = {A live version of this document is available at \url{https://mqt.readthedocs.io}}
}

Peer-Reviewed Research

When citing the underlying methods and research, please reference the most relevant peer-reviewed publications from the list below:

[1] L. Berent, L. Burgholzer, and R. Wille. Towards a Satisfiability Encoding for Quantum Circuits. International Conference on Theory and Applications of Satisfiability Testing, 2022.

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Acknowledgements

The Munich Quantum Toolkit has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 101001318), the Bavarian State Ministry for Science and Arts through the Distinguished Professorship Program, as well as the Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus.