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Autores principales: Moser, Georg, Schaper, Michael
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2604.03971
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author Moser, Georg
Schaper, Michael
author_facet Moser, Georg
Schaper, Michael
contents In recent years, quantum computing has gained a substantial amount of momentum, and the capabilities of quantum devices are continually expanding and improving. Nevertheless, writing a quantum program from scratch remains tedious and error-prone work, showcasing the clear demand for automated tool support. We present Qet, a fully automated static program analysis tool that yields a precise expected cost analysis of mixed classical-quantum programs. Qet supports programs with advanced features like mid-circuit measurements and classical control flow. The methodology of our prototype implementation is based on a recently proposed quantum expectation transformer framework, generalising Dijkstra's predicate transformer and Hoare logic. The prototype implementation Qet is evaluated on a number of case studies taken from the literature and online references. Qet is able to fully automatically infer precise upper bounds on the expected costs that previously could only be derived by tedious manual calculations.
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record_format arxiv
spellingShingle Automated Expected Cost Analysis for Quantum Programs
Moser, Georg
Schaper, Michael
Programming Languages
In recent years, quantum computing has gained a substantial amount of momentum, and the capabilities of quantum devices are continually expanding and improving. Nevertheless, writing a quantum program from scratch remains tedious and error-prone work, showcasing the clear demand for automated tool support. We present Qet, a fully automated static program analysis tool that yields a precise expected cost analysis of mixed classical-quantum programs. Qet supports programs with advanced features like mid-circuit measurements and classical control flow. The methodology of our prototype implementation is based on a recently proposed quantum expectation transformer framework, generalising Dijkstra's predicate transformer and Hoare logic. The prototype implementation Qet is evaluated on a number of case studies taken from the literature and online references. Qet is able to fully automatically infer precise upper bounds on the expected costs that previously could only be derived by tedious manual calculations.
title Automated Expected Cost Analysis for Quantum Programs
topic Programming Languages
url https://arxiv.org/abs/2604.03971