mqt.qmap


Namemqt.qmap JSON
Version 2.5.0 PyPI version JSON
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SummaryA tool for Quantum Circuit Mapping
upload_time2024-02-22 02:47:10
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requires_python>=3.8
licenseMIT License Copyright (c) 2023 Chair for Design Automation, Technical University of Munich Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
keywords mqt quantum-computing design-automation compiler clifford-synthesis
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# MQT QMAP - A tool for Quantum Circuit Compilation

A tool for quantum circuit compilation developed as part of the [_Munich Quantum Toolkit_](https://mqt.readthedocs.io) (_MQT_) by the [Chair for Design Automation](https://www.cda.cit.tum.de/) at the [Technical University of Munich](https://www.tum.de/).
It builds upon [MQT Core](https://github.com/cda-tum/mqt-core), which forms the backbone of the MQT.

<p align="center">
  <a href="https://mqt.readthedocs.io/projects/qmap">
  <img width=30% src="https://img.shields.io/badge/documentation-blue?style=for-the-badge&logo=read%20the%20docs" alt="Documentation" />
  </a>
</p>

If you have any questions, feel free to contact us via [quantum.cda@xcit.tum.de](mailto:quantum.cda@xcit.tum.de) or by creating an issue on [GitHub](https://github.com/cda-tum/mqt-qmap/issues).

## Getting Started

<p align="center">
  <a href="https://arxiv.org/abs/2301.11935">
  <img width=30% src="https://img.shields.io/badge/overview paper-blue?style=for-the-badge&logo=arxiv" alt="Overview Paper" />
  </a>
</p>

QMAP is available via [PyPI](https://pypi.org/project/mqt.qmap/) for Linux, macOS, and Windows and supports Python 3.8 to 3.12.

```console
(venv) $ pip install mqt.qmap
```

Compiling a given quantum circuit to a certain device is as easy as

```python3
from mqt import qmap
from qiskit import QuantumCircuit
from qiskit.providers.fake_provider import FakeLondon

circ = QuantumCircuit(3)
circ.h(0)
circ.cx(0, 1)
circ.cx(0, 2)

circ_mapped, results = qmap.compile(circ, arch=FakeLondon())
```

Optimizing a Clifford circuit is as easy as

```python3
from mqt import qmap
from qiskit import QuantumCircuit

circ = QuantumCircuit(2)
circ.h(1)
circ.cx(0, 1)
circ.h(0)
circ.h(1)

circ_opt, results = qmap.optimize_clifford(circ)
```

**Detailed documentation on all available methods, options, and input formats is available at [ReadTheDocs](https://mqt.readthedocs.io/projects/qmap).**

## System Requirements and Building

The implementation is compatible with any C++17 compiler, a minimum CMake version of 3.19, and Python 3.8+.
Please refer to the [documentation](https://mqt.readthedocs.io/projects/qmap) on how to build the project.

Building (and running) is continuously tested under Linux, macOS, and Windows using the [latest available system versions for GitHub Actions](https://github.com/actions/virtual-environments).

## References

QMAP has been developed based on methods proposed in the following papers:

[[1]](https://www.cda.cit.tum.de/files/eda/2023_ispd_mqt_qmap_efficient_quantum_circuit_mapping.pdf)
R. Wille and L. Burgholzer. MQT QMAP: Efficient Quantum Circuit Mapping.
In _International Symposium on Physical Design (ISPD)_, 2023.

[[2]](https://www.cda.cit.tum.de/files/eda/2018_tcad_efficient_mapping_of_quantum_circuits_to_ibm_qx_architectures.pdf)
A. Zulehner, A. Paler, and R. Wille. An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures.
_IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems (TCAD)_, 2018.

[[3]](https://www.cda.cit.tum.de/files/eda/2019_dac_mapping_quantum_circuits_ibm_architectures_using_minimal_number_swap_h_gates.pdf)
R. Wille, L. Burgholzer, and A. Zulehner. Mapping Quantum Circuits to IBM QX Architectures Using the Minimal Number of SWAP and H Operations.
In _Design Automation Conference (DAC)_, 2019.

[[4]](https://www.cda.cit.tum.de/files/eda/2021_aspdac_exploiting_teleportation_in_quantum_circuit_mappping.pdf)
S. Hillmich, A. Zulehner, and R. Wille. Exploiting Quantum Teleportation in Quantum Circuit Mapping.
In _Asia and South Pacific Design Automation Conference (ASP-DAC)_, 2021.

[[5]](https://www.cda.cit.tum.de/files/eda/2022_aspdac_limiting_search_space_optimal_quantum_circuit_mapping.pdf)
L. Burgholzer, S. Schneider, and R. Wille. Limiting the Search Space in Optimal Quantum Circuit Mapping.
In _Asia and South Pacific Design Automation Conference (ASP-DAC)_, 2022.

[[6]](https://arxiv.org/pdf/2210.09321.pdf)
T. Peham, L. Burgholzer, and R. Wille. On Optimal Subarchitectures for Quantum Circuit Mapping.
_arXiv:2210.09321_, 2022.

[[7]](https://arxiv.org/pdf/2208.11713.pdf)
S. Schneider, L. Burgholzer, and R. Wille. A SAT Encoding for Optimal Clifford Circuit Synthesis.
In _Asia and South Pacific Design Automation Conference (ASP-DAC)_, 2023.

---

## 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.

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Wille and L. Burgholzer. MQT QMAP: Efficient Quantum Circuit Mapping.\nIn _International Symposium on Physical Design (ISPD)_, 2023.\n\n[[2]](https://www.cda.cit.tum.de/files/eda/2018_tcad_efficient_mapping_of_quantum_circuits_to_ibm_qx_architectures.pdf)\nA. Zulehner, A. Paler, and R. Wille. An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures.\n_IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems (TCAD)_, 2018.\n\n[[3]](https://www.cda.cit.tum.de/files/eda/2019_dac_mapping_quantum_circuits_ibm_architectures_using_minimal_number_swap_h_gates.pdf)\nR. Wille, L. Burgholzer, and A. Zulehner. Mapping Quantum Circuits to IBM QX Architectures Using the Minimal Number of SWAP and H Operations.\nIn _Design Automation Conference (DAC)_, 2019.\n\n[[4]](https://www.cda.cit.tum.de/files/eda/2021_aspdac_exploiting_teleportation_in_quantum_circuit_mappping.pdf)\nS. Hillmich, A. Zulehner, and R. Wille. 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