A Roadmap for Automating the Selection of Quantum Computers for Quantum Algorithms

@article{Salm2020ARF,
  title={A Roadmap for Automating the Selection of Quantum Computers for Quantum Algorithms},
  author={Marie Olivia Salm and Johanna Barzen and Uwe Breitenbucher and F. Leymann and Benjamin Weder and Karoline Wild},
  journal={arXiv: Quantum Physics},
  year={2020}
}
Quantum computing can enable a variety of breakthroughs in research and industry in the future. Although some quantum algorithms already exist that show a theoretical speedup compared to the best known classical algorithms, the implementation and execution of these algorithms come with several challenges. The input data determines, e.g., the required number of qubits and gates of a quantum algorithm. An algorithm implementation also depends on the used Software Development Kit which restricts… Expand

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References

SHOWING 1-10 OF 43 REFERENCES
Quantum Algorithm Implementations for Beginners
An introduction to quantum computing for non-physicists
Overview and Comparison of Gate Level Quantum Software Platforms
Quantum Computing in the NISQ era and beyond
Quantum supremacy using a programmable superconducting processor
QuRE: The Quantum Resource Estimator toolbox
ScaffCC: a framework for compilation and analysis of quantum computing programs
Quantum Volume
A functional architecture for scalable quantum computing
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