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A quantum simulator based on decision diagrams written in C++

Project description

PyPI OS License: MIT CI CD Documentation codecov

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 (MQT) by the Chair for Design Automation at the Technical University of Munich. It builds upon MQT Core, which forms the backbone of the MQT.

Documentation

If you have any questions, feel free to contact us via quantum.cda@xcit.tum.de or by creating an issue on GitHub.

Getting Started

DDSIM bundled with the provider and backends for Qiskit is available via PyPI for Linux, macOS, and Windows and supports Python 3.9 to 3.13.

(venv) $ pip install mqt.ddsim

The following code gives an example on the usage:

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.

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 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.

References

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


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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