# Automated flakiness detection in quantum software bug reports

arXiv: https://arxiv.org/abs/2408.05331 · HTML: https://mlsanity.com/paper/2408.05331/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Aug 2024.

## Built on by (most cited first, 3 of 3)

- [Automating Quantum Software Maintenance: Flakiness Detection and Root Cause Analysis](https://mlsanity.com/paper/2410.23578/) (2024)
- [Identifying Flaky Tests in Quantum Code: A Machine Learning Approach](https://mlsanity.com/paper/2502.04471/) (2025)
- [Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software](https://mlsanity.com/paper/2603.09029/) (2026)

## Abstract (arXiv)

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.