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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 9 Pith papers
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Benchmarking Large Language Models on Repairing Qiskit Programs using Bugs4Q
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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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A Framework for the Efficient Evaluation of Runtime Assertions on Quantum Computers
A framework that translates quantum runtime assertions into optimized measurement slices and evaluates them on noisy hardware using noise-adjusted statistical tests, demonstrating reliable bug detection on IBM devices.
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Automatically Refining Assertions for Efficient Debugging of Quantum Programs
Automated refinement of quantum program assertions via commutation-based movement and interaction- or state-based addition reduces the code interval a developer must inspect after an assertion failure by up to 61% in ...
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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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An experience-based classification of quantum bugs in quantum software
A largely experience-based catalog of 14 quantum software bugs proposes an intersection-aware classification and finds no one debugging strategy maps cleanly onto bug classes.
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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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A Framework for Debugging Quantum Programs
The paper introduces a simulation-based debugging framework with automated cone-of-influence, interaction, and control-value analyses that point developers to likely error causes after a quantum assertion fails.
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