Automated flakiness detection in quantum software bug reports

• URL: http://arxiv.org/abs/2408.05331v1
• Date: Fri, 9 Aug 2024 20:42:20 GMT
• Title: Automated flakiness detection in quantum software bug reports
• Authors: Lei Zhang, Andriy Miranskyy,
• Abstract summary: We outline challenges and potential solutions for the automated detection of flaky tests in bug reports of quantum software. We aim to raise awareness of flakiness in quantum software and encourage the software engineering community to work collaboratively to solve this emerging challenge.
• Score: 5.592360872268223
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: A flaky test yields inconsistent results upon repetition, posing a significant challenge to software developers. An extensive study of their presence and characteristics has been done in classical computer software but not quantum computer software. In this paper, we outline challenges and potential solutions for the automated detection of flaky tests in bug reports of quantum software. We aim to raise awareness of flakiness in quantum software and encourage the software engineering community to work collaboratively to solve this emerging challenge.

Related papers

• A Survey on Testing and Analysis of Quantum Software [21.351834312054844]
  We provide an extensive survey of the state of the art in testing and analysis of quantum software. We discuss literature from several research communities, including quantum computing, software engineering, programming languages, and formal methods.
  arXiv  Detail & Related papers  (2024-10-01T13:05:54Z)
• The curse of random quantum data [62.24825255497622]
  We quantify the performances of quantum machine learning in the landscape of quantum data. We find that the training efficiency and generalization capabilities in quantum machine learning will be exponentially suppressed with the increase in qubits. Our findings apply to both the quantum kernel method and the large-width limit of quantum neural networks.
  arXiv  Detail & Related papers  (2024-08-19T12:18:07Z)
• Challenges of Quantum Software Engineering for the Next Decade: The Road Ahead [10.622924726374492]
  Researchers are addressing the challenges of Quantum Software Engineering. This analysis is used to identify needed breakthroughs and future research directions for Quantum Software Engineering. In this work, a set of active researchers is currently addressing the challenges of Quantum Software Engineering.
  arXiv  Detail & Related papers  (2024-04-10T08:24:53Z)
• Quantum algorithms: A survey of applications and end-to-end complexities [90.05272647148196]
  The anticipated applications of quantum computers span across science and industry. We present a survey of several potential application areas of quantum algorithms. We outline the challenges and opportunities in each area in an "end-to-end" fashion.
  arXiv  Detail & Related papers  (2023-10-04T17:53:55Z)
• Quantum Software Engineering Challenges from Developers' Perspective: Mapping Research Challenges to the Proposed Workflow Model [5.287156503763459]
  Software engineering of quantum programs can be approached from two directions. In this paper, we aim at bridging the gap by starting with the quantum computing workflow and by mapping existing software engineering research to this workflow.
  arXiv  Detail & Related papers  (2023-08-02T13:32:31Z)
• Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and Challenges [5.242305867893238]
  The emergence of quantum computing has introduced a revolutionary paradigm capable of transforming numerous scientific and industrial sectors. However, realizing the practical utilization of quantum software in real-world applications presents significant challenges. This paper explores tangible approaches to establishing quantum computing software development process.
  arXiv  Detail & Related papers  (2023-07-30T23:44:22Z)
• Automatic Implementation and Evaluation of Error-Correcting Codes for Quantum Computing: An Open-Source Framework for Quantum Error Correction [2.1801327670218855]
  Real quantum computers are plagued by frequent noise effects that cause errors during computations. Quantum error-correcting codes address this problem by providing means to identify and correct corresponding errors. We propose an open-source framework that automatically applies error-correcting codes for a given application followed by an automatic noise-aware quantum circuit simulation.
  arXiv  Detail & Related papers  (2023-01-13T19:12:22Z)
• The Basis of Design Tools for Quantum Computing: Arrays, Decision Diagrams, Tensor Networks, and ZX-Calculus [55.58528469973086]
  Quantum computers promise to efficiently solve important problems classical computers never will. A fully automated quantum software stack needs to be developed. This work provides a look "under the hood" of today's tools and showcases how these means are utilized in them, e.g., for simulation, compilation, and verification of quantum circuits.
  arXiv  Detail & Related papers  (2023-01-10T19:00:00Z)
• Experimental Implementation of an Efficient Test of Quantumness [49.588006756321704]
  A test of quantumness is a protocol where a classical user issues challenges to a quantum device to determine if it exhibits non-classical behavior. Recent attempts to implement such tests on current quantum computers rely on either interactive challenges with efficient verification, or non-interactive challenges with inefficient (exponential time) verification.
  arXiv  Detail & Related papers  (2022-09-28T18:00:04Z)
• On exploring the potential of quantum auto-encoder for learning quantum systems [60.909817434753315]
  We devise three effective QAE-based learning protocols to address three classically computational hard learning problems. Our work sheds new light on developing advanced quantum learning algorithms to accomplish hard quantum physics and quantum information processing tasks.
  arXiv  Detail & Related papers  (2021-06-29T14:01:40Z)
• An Application of Quantum Annealing Computing to Seismic Inversion [55.41644538483948]
  We apply a quantum algorithm to a D-Wave quantum annealer to solve a small scale seismic inversions problem. The accuracy achieved by the quantum computer is at least as good as that of the classical computer.
  arXiv  Detail & Related papers  (2020-05-06T14:18:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.