mqt.ddsim 1.17.1

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

MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++

A tool for classical quantum circuit simulation by the Chair for Design Automation at the Technical University of Munich. QCEC is part of the Munich Quantum Toolkit (MQT; formerly known as JKQ and developed by the Institute for Integrated Circuits at the Johannes Kepler University Linz). It builds upon our quantum functionality representation (QFR) and our decision diagram (DD) package.

Detailed documentation on all available formats, options, and algorithms is available at ReadTheDocs.

If you have any questions, feel free to contact us via [e-mail] 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.

(venv) $ pip install mqt.ddsim

The following code gives an example on the usage:

from qiskit import *
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 = execute(circ, backend, shots=10000)
counts = job.result().get_counts(circ)
print(counts)

System Requirements and Building

The implementation is compatible with any C++17 compiler and a minimum CMake version of 3.14. 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:

• A. Zulehner and R. Wille, "Advanced Simulation of Quantum Computations," 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," 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," 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," 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," in Design, Automation and Test in Europe (DATE), 2022
• T. Grurl, J. Fuß, and R. Wille, "Noise-aware Quantum Circuit Simulation With Decision Diagrams," Transactions on CAD of Integrated Circuits and Systems (TCAD), 2022.