| Name | mqt.ddsim JSON |
| Version |
1.22.0
JSON |
| download |
| home_page | None |
| Summary | A quantum simulator based on decision diagrams written in C++ |
| upload_time | 2024-04-15 00:02:45 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT 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
quantum-circuit-sim
simulation
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
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No Travis.
|
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No coveralls.
|
[](https://pypi.org/project/mqt.ddsim/)
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[](https://mqt.readthedocs.io/projects/ddsim)
[](https://codecov.io/gh/cda-tum/mqt-ddsim)
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# MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++
A tool for classical quantum circuit simulation 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/ddsim">
<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](https://github.com/cda-tum/mqt-ddsim/issues) on GitHub.
## Getting Started
DDSIM bundled with the provider and backends for Qiskit is available via [PyPI](https://pypi.org/project/mqt.ddsim/) for Linux, macOS, and Windows and supports Python 3.8 to 3.12.
```console
(venv) $ pip install mqt.ddsim
```
The following code gives an example on the usage:
```python3
from qiskit import QuantumCircuit
from mqt import ddsim
circ = QuantumCircuit(3)
circ.h(0)
circ.cx(0, 1)
circ.cx(0, 2)
print(circ.draw(fold=-1))
backend = ddsim.DDSIMProvider().get_backend("qasm_simulator")
job = backend.run(circ, shots=10000)
counts = job.result().get_counts(circ)
print(counts)
```
**Detailed documentation on all available methods, options, and input formats is available at [ReadTheDocs](https://mqt.readthedocs.io/projects/ddsim).**
## System Requirements and Building
The implementation is compatible with any C++17 compiler and a minimum CMake version of 3.19.
Please refer to the [documentation](https://mqt.readthedocs.io/projects/ddsim) 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
DDSIM has been developed based on methods proposed in the following papers:
- A. Zulehner and R. Wille, "[Advanced Simulation of Quantum Computations](https://www.cda.cit.tum.de/files/eda/2018_tcad_advanced_simulation_quantum_computation.pdf)," Transactions on CAD of Integrated Circuits and Systems (TCAD), 2019
- S. Hillmich, I.L. Markov, and R. Wille, "[Just Like the Real Thing: Fast Weak Simulation of Quantum Computation](https://www.cda.cit.tum.de/files/eda/2020_dac_weak_simulation_quantum_computation.pdf)," in Design Automation Conference (DAC), 2020
- S. Hillmich, R. Kueng, I. L. Markov, and R. Wille, "[As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation](https://www.cda.cit.tum.de/files/eda/2021_date_approximations_dd_baed_quantum_circuit_simulation.pdf)," in Design, Automation and Test in Europe (DATE), 2021
- L. Burgholzer, H. Bauer, and R. Wille, "[Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With Decision Diagrams](https://www.cda.cit.tum.de/files/eda/2021_qce_hybrid_schrodinger_feynman_simulation_with_decision_diagrams.pdf)," Conference on Quantum Computing and Engineering (QCE), 2021
- L. Burgholzer, A.Ploier, and R. Wille, "[Exploiting Arbitrary Paths for the Simulation of Quantum Circuits with Decision Diagrams](https://www.cda.cit.tum.de/files/eda/2022_date_exploiting_arbitrary_paths_simulation_quantum_circuits_decision_diagrams.pdf)," in Design, Automation and Test in Europe (DATE), 2022
- T. Grurl, J. Fuß, and R. Wille, "[Noise-aware Quantum Circuit Simulation With Decision Diagrams](https://www.cda.cit.tum.de/files/eda/2022_tcad_noise-aware_quantum_circuit_simulation_with_decision_diagrams.pdf)," Transactions on CAD of Integrated Circuits and Systems (TCAD), 2022.
---
## 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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"description": "[](https://pypi.org/project/mqt.ddsim/)\n\n[](https://opensource.org/licenses/MIT)\n[](https://github.com/cda-tum/mqt-ddsim/actions/workflows/ci.yml)\n[](https://github.com/cda-tum/mqt-ddsim/actions/workflows/cd.yml)\n[](https://mqt.readthedocs.io/projects/ddsim)\n[](https://codecov.io/gh/cda-tum/mqt-ddsim)\n\n<p align=\"center\">\n <picture>\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://raw.githubusercontent.com/cda-tum/mqt-ddsim/main/docs/source/_static/mqt_light.png\" width=\"60%\">\n <img src=\"https://raw.githubusercontent.com/cda-tum/mqt-ddsim/main/docs/source/_static/mqt_dark.png\" width=\"60%\">\n </picture>\n</p>\n\n# MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++\n\nA tool for classical quantum circuit simulation 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/).\nIt builds upon [MQT Core](https://github.com/cda-tum/mqt-core), which forms the backbone of the MQT.\n\n<p align=\"center\">\n <a href=\"https://mqt.readthedocs.io/projects/ddsim\">\n <img width=30% src=\"https://img.shields.io/badge/documentation-blue?style=for-the-badge&logo=read%20the%20docs\" alt=\"Documentation\" />\n </a>\n</p>\n\nIf 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](https://github.com/cda-tum/mqt-ddsim/issues) on GitHub.\n\n## Getting Started\n\nDDSIM bundled with the provider and backends for Qiskit is available via [PyPI](https://pypi.org/project/mqt.ddsim/) for Linux, macOS, and Windows and supports Python 3.8 to 3.12.\n\n```console\n(venv) $ pip install mqt.ddsim\n```\n\nThe following code gives an example on the usage:\n\n```python3\nfrom qiskit import QuantumCircuit\nfrom mqt import ddsim\n\ncirc = QuantumCircuit(3)\ncirc.h(0)\ncirc.cx(0, 1)\ncirc.cx(0, 2)\n\nprint(circ.draw(fold=-1))\n\nbackend = ddsim.DDSIMProvider().get_backend(\"qasm_simulator\")\n\njob = backend.run(circ, shots=10000)\ncounts = job.result().get_counts(circ)\nprint(counts)\n```\n\n**Detailed documentation on all available methods, options, and input formats is available at [ReadTheDocs](https://mqt.readthedocs.io/projects/ddsim).**\n\n## System Requirements and Building\n\nThe implementation is compatible with any C++17 compiler and a minimum CMake version of 3.19.\nPlease refer to the [documentation](https://mqt.readthedocs.io/projects/ddsim) on how to build the project.\n\nBuilding (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).\n\n## References\n\nDDSIM has been developed based on methods proposed in the following papers:\n\n- A. Zulehner and R. Wille, \"[Advanced Simulation of Quantum Computations](https://www.cda.cit.tum.de/files/eda/2018_tcad_advanced_simulation_quantum_computation.pdf),\" Transactions on CAD of Integrated Circuits and Systems (TCAD), 2019\n- S. Hillmich, I.L. Markov, and R. Wille, \"[Just Like the Real Thing: Fast Weak Simulation of Quantum Computation](https://www.cda.cit.tum.de/files/eda/2020_dac_weak_simulation_quantum_computation.pdf),\" in Design Automation Conference (DAC), 2020\n- S. Hillmich, R. Kueng, I. L. Markov, and R. Wille, \"[As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation](https://www.cda.cit.tum.de/files/eda/2021_date_approximations_dd_baed_quantum_circuit_simulation.pdf),\" in Design, Automation and Test in Europe (DATE), 2021\n- L. Burgholzer, H. Bauer, and R. 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