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Open source software is vital for quantum computing development. While many tools exist, few attract external developers, and even commercial projects need better software engineering practices for robust quantum algorithm design.

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Area of Science:

  • Quantum Computing
  • Software Engineering
  • Open Source Technology

Background:

  • Open source software is increasingly critical for designing and testing quantum algorithms.
  • Commercial vendors are developing quantum software tools, similar to open machine learning frameworks, to simplify development on complex quantum hardware.

Purpose of the Study:

  • To review and evaluate a wide range of open source software for quantum computing.
  • To assess projects across the entire quantum toolchain and various quantum computing paradigms.
  • To identify best practices for fostering a high-quality, active quantum computing software community.

Main Methods:

  • Comprehensive review of open source quantum computing software.
  • Evaluation criteria included documentation, licensing, programming language, software engineering compliance, and project culture.
  • Analysis covered quantum hardware interfaces, compilers, algorithm implementations, and different quantum computing models.

Main Results:

  • A diverse landscape of open source quantum computing projects was observed.
  • Few projects successfully attract external developers.
  • Many commercially backed frameworks exhibit software engineering weaknesses.

Conclusions:

  • Despite project diversity, community engagement and software engineering quality are areas for improvement.
  • Implementing best practices can cultivate a more active and welcoming quantum computing software community.
  • High-quality, well-documented code is essential for advancing quantum software development and welcoming newcomers.