English

$Classi|Q\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap

Software Engineering 2024-07-02 v3 Computation and Language Emerging Technologies Programming Languages

Abstract

Quantum computing, albeit readily available as hardware or emulated on the cloud, is still far from being available in general regarding complex programming paradigms and learning curves. This vision paper introduces ClassiQClassi|Q\rangle, a translation framework idea to bridge Classical and Quantum Computing by translating high-level programming languages, e.g., Python or C++, into a low-level language, e.g., Quantum Assembly. Our idea paper serves as a blueprint for ongoing efforts in quantum software engineering, offering a roadmap for further ClassiQClassi|Q\rangle development to meet the diverse needs of researchers and practitioners. ClassiQClassi|Q\rangle is designed to empower researchers and practitioners with no prior quantum experience to harness the potential of hybrid quantum computation. We also discuss future enhancements to ClassiQClassi|Q\rangle, including support for additional quantum languages, improved optimization strategies, and integration with emerging quantum computing platforms.

Keywords

Cite

@article{arxiv.2406.06764,
  title  = {$Classi|Q\rangle$ Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap},
  author = {Matteo Esposito and Maryam Tavassoli Sabzevari and Boshuai Ye and Davide Falessi and Arif Ali Khan and Davide Taibi},
  journal= {arXiv preprint arXiv:2406.06764},
  year   = {2024}
}
R2 v1 2026-06-28T17:00:28.416Z