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On Testing and Debugging Quantum Software
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Quantum computers are becoming more mainstream. As more programmers are starting to look at writing quantum programs, they need to test and debug their code. In this paper, we discuss various use-cases for quantum computers, either standalone or as part of a System of Systems. Based on these use-cases, we discuss some testing and debugging tactics that one can leverage to ensure the quality of the quantum software. We also highlight quantum-computer-specific issues and list novel techniques that are needed to address these issues. The practitioners can readily apply some of these tactics to their process of writing quantum programs, while researchers can learn about opportunities for future work.
Forward citations
Cited by 5 Pith papers
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Benchmarking Large Language Models on Repairing Qiskit Programs using Bugs4Q
Bugs4Q validity is version-dependent; most LLM repair passes land on invalid entries, so version-pinned validation must precede quantum APR evaluation.
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Shadow-Based Noise Fingerprinting of Simulated Quantum Noise Models
Physics-informed classical-shadow features from fixed 3-qubit probes let a random forest identify ten simulated quantum noise channels at 0.84 test accuracy.
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A Course on the Introduction to Quantum Software Engineering: Experience Report
An experience report describes a modular course that enables students with minimal quantum exposure to work productively on quantum software engineering topics using executable artifacts and empirical reasoning.
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Toward Live Noise Fingerprinting in Quantum Software Engineering
SimShadow fingerprints quantum simulator noise from a few reference-state measurements and shows Qiskit and Cirq differ systematically even under matched noise settings.
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On the Feasibility of Quantum Unit Testing
A large empirical study finds that the Inverse test, which reverses the expected circuit and checks for the all-zero state, detects quantum circuit mutations with fewer shots than statistical or Swap tests.
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