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Quantum Software Engineering Challenges from Developers' Perspective: Mapping Research Challenges to the Proposed Workflow Model

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Despite the increasing interest in quantum computing, the aspect of development to achieve cost-effective and reliable quantum software applications has been slow. One barrier is the software engineering of quantum programs, which can be approached from two directions. On the one hand, many software engineering practices, debugging in particular, are bound to classical computing. On the other hand, quantum programming is closely associated with the phenomena of quantum physics, and consequently, the way we express programs resembles the early days of programming. Moreover, much of the software engineering research today focuses on agile development, where computing cycles are cheap and new software can be rapidly deployed and tested, whereas in the quantum context, executions may consume lots of energy, and test runs may require lots of work to interpret. In this paper, we aim at bridging this gap by starting with the quantum computing workflow and by mapping existing software engineering research to this workflow. Based on the mapping, we then identify directions for software engineering research for quantum computing.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023
EditorsHausi Muller, Yuri Alexev, Andrea Delgado, Greg Byrd
Number of pages4
PublisherIEEE
Publication date2023
Pages173-176
ISBN (Print)979-8-3503-4324-3
ISBN (Electronic)979-8-3503-4323-6
DOIs
Publication statusPublished - 2023
MoE publication typeA4 Article in conference proceedings
EventIEEE International Conference on Quantum Computing and Engineering - Bellevue, United States
Duration: 17 Sept 202322 Sept 2023
Conference number: 4

Fields of Science

  • quantum computing
  • Quantum software engineering
  • software development
  • 113 Computer and information sciences

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