https://github.com/munich-quantum-toolkit/qmap
MQT QMAP - A tool for Quantum Circuit Mapping written in C++
https://github.com/munich-quantum-toolkit/qmap
compilation mapping-tools quantum quantum-circuits quantum-computing
Last synced: 5 months ago
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MQT QMAP - A tool for Quantum Circuit Mapping written in C++
- Host: GitHub
- URL: https://github.com/munich-quantum-toolkit/qmap
- Owner: munich-quantum-toolkit
- License: mit
- Created: 2020-10-10T00:07:09.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2025-05-08T19:20:00.000Z (5 months ago)
- Last Synced: 2025-05-08T20:28:08.261Z (5 months ago)
- Topics: compilation, mapping-tools, quantum, quantum-circuits, quantum-computing
- Language: C++
- Homepage: https://mqt.readthedocs.io/projects/qmap
- Size: 7.56 MB
- Stars: 107
- Watchers: 7
- Forks: 27
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- Contributing: .github/contributing.md
- License: LICENSE.md
- Support: .github/support.md
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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 (MQT)_](https://mqt.readthedocs.io) [^1].
It builds upon [MQT Core](https://github.com/munich-quantum-toolkit/core), which forms the backbone of the MQT.
If you have any questions,
feel free to create a [discussion](https://github.com/munich-quantum-toolkit/qmap/discussions) or an [issue](https://github.com/munich-quantum-toolkit/qmap/issues) on [GitHub](https://github.com/munich-quantum-toolkit/qmap).
## Getting Started
QMAP is available via [PyPI](https://pypi.org/project/mqt.qmap/) for Linux, macOS, and Windows and supports Python 3.9 to 3.13.
```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 GenericBackendV2
circ = QuantumCircuit(3)
circ.h(0)
circ.cx(0, 1)
circ.cx(0, 2)
arch = GenericBackendV2(
num_qubits=5,
coupling_map=[[0, 1], [1, 0], [1, 2], [2, 1], [1, 3], [3, 1], [3, 4], [4, 3]],
)
circ_mapped, results = qmap.compile(circ, arch=arch)
```
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 3.24, and Python 3.9+.
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.
_ACM Transactions on Quantum Computing (TQC)_, 2023.
[[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.
[[8]](https://arxiv.org/pdf/2305.01674.pdf)
T. Peham, N. Brandl, R. Kueng, R. Wille, and L. Burgholzer. Depth-Optimal Synthesis of Clifford Circuits with SAT Solvers.
In _IEEE International Conference on Quantum Computing and Engineering (QCE)_, 2023.
[[9]](https://arxiv.org/pdf/2309.08656.pdf)
L. Schmid, D. F. Locher, M. Rispler, S. Blatt, J. Zeiher, M. Müller, and R. Wille. Computational Capabilities and Compiler Development for Neutral Atom Quantum Processors: Connecting Tool Developers and Hardware Experts.
_Quantum Science and Technology_, 2024.
[[10]](https://arxiv.org/pdf/2311.14164.pdf)
L. Schmid, S. Park, S. Kang, and R. Wille. Hybrid Circuit Mapping: Leveraging the Full Spectrum of Computational Capabilities of Neutral Atom Quantum Computers.
In _Design Automation Conference (DAC)_, 2024.
[[11]](https://arxiv.org/pdf/2405.08068.pdf)
Y. Stade, L. Schmid, L. Burgholzer, and R. Wille. An Abstract Model and Efficient Routing for Logical Entangling Gates on Zoned Neutral Atom Architectures.
_arXiv:2405.08068_, 2024.
[^1]: The _[Munich Quantum Toolkit (MQT)](https://mqt.readthedocs.io)_ is a collection of software tools for quantum computing developed by the [Chair for Design Automation](https://www.cda.cit.tum.de/) at the [Technical University of Munich](https://www.tum.de/) as well as the [Munich Quantum Software Company (MQSC)](https://munichquantum.software). Among others, it is part of the [Munich Quantum Software Stack (MQSS)](https://www.munich-quantum-valley.de/research/research-areas/mqss) ecosystem, which is being developed as part of the [Munich Quantum Valley (MQV)](https://www.munich-quantum-valley.de) initiative.
---
## 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.
