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Proq: Projection-based Runtime Assertions for Debugging on a Quantum Computer

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arxiv 1911.12855 v2 pith:CIDUGSFA submitted 2019-11-28 cs.PL cs.CLcs.ETquant-ph

classification cs.PLcs.CLcs.ETquant-ph
keywords quantumproqassertionsalgorithmassertioncomputerdebuggingdirectly
verification ladder T0 review T1 audit T2 compute T3 formal

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In this paper, we propose Proq, a runtime assertion scheme for testing and debugging quantum programs on a quantum computer. The predicates in Proq are represented by projections (or equivalently, closed subspaces of the state space), following Birkhoff-von Neumann quantum logic. The satisfaction of a projection by a quantum state can be directly checked upon a small number of projective measurements rather than a large number of repeated executions. On the theory side, we rigorously prove that checking projection-based assertions can help locate bugs or statistically assure that the semantic function of the tested program is close to what we expect, for both exact and approximate quantum programs. On the practice side, we consider hardware constraints and introduce several techniques to transform the assertions, making them directly executable on the measurement-restricted quantum computers. We also propose to achieve simplified assertion implementation using local projection technique with soundness guaranteed. We compare Proq with existing quantum program assertions and demonstrate the effectiveness and efficiency of Proq by its applications to assert two ingenious quantum algorithms, the Harrow-Hassidim-Lloyd algorithm and Shor's algorithm.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Framework for the Efficient Evaluation of Runtime Assertions on Quantum Computers

    quant-ph 2025-05 conditional novelty 6.0 of 10

    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.

  2. Automatically Refining Assertions for Efficient Debugging of Quantum Programs

    quant-ph 2024-12 conditional novelty 6.0 of 10

    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 ...

  3. Taxonomy of migration scenarios for Qiskit refactoring using LLMs

    cs.SE 2025-06 conditional novelty 5.0 of 10

    LLMs can generate a structured taxonomy of Qiskit migration and refactoring scenarios that largely overlaps with an expert-built taxonomy and adds some scenarios.

  4. A Framework for Debugging Quantum Programs

    quant-ph 2024-12 conditional novelty 5.0 of 10

    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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