A systematic analysis of 59 quantum software testing empirical studies reveals highly diverse designs, inconsistent reporting, and open methodological challenges, leading to recommendations for future work.
A black-box testing framework for oracle quantum programs.arXiv preprint arXiv:2505.07243, 2025
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Qolumbina curates 40 quantum programs into a benchmark with QST-oriented criteria for functionality, output behavior, and complexity to support scalable empirical studies of quantum software testing approaches.
QuanForge introduces statistical mutation killing and nine post-training mutation operators for QNNs to distinguish test suites and localize vulnerable circuit regions.
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A Methodological Analysis of Empirical Studies in Quantum Software Testing
A systematic analysis of 59 quantum software testing empirical studies reveals highly diverse designs, inconsistent reporting, and open methodological challenges, leading to recommendations for future work.
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Benchmarking Quantum Software Testing with Scalable Quantum Programs
Qolumbina curates 40 quantum programs into a benchmark with QST-oriented criteria for functionality, output behavior, and complexity to support scalable empirical studies of quantum software testing approaches.
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QuanForge: A Mutation Testing Framework for Quantum Neural Networks
QuanForge introduces statistical mutation killing and nine post-training mutation operators for QNNs to distinguish test suites and localize vulnerable circuit regions.