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Challenges in Quantum Programs Analysis.

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Title: Challenges in Quantum Programs Analysis.
Authors: Assolini, Nicola1 (AUTHOR) nicola.assolini@univr.it, Di Pierro, Alessandra1 (AUTHOR) alessandra.dipierro@univr.it, Mastroeni, Isabella1 (AUTHOR) isabella.mastroeni@univr.it
Source: International Journal on Software Tools for Technology Transfer. Jun2026, Vol. 28 Issue 3, p345-374. 30p.
Subjects: Data flow computing, Quantum entanglement, Quantum computing, Software verification, Qubits
Abstract: The rapid progress of quantum technologies, fostered by the efforts of both academia and industry, has stimulated the design of quantum programming languages and the development of methods to support their verification and optimization. As in the classical setting, static analysis plays a fundamental role in such an endeavour. In this paper, we provide a survey on static analysis approaches for quantum programs, which have been proposed in the literature, distinguishing between dataflow-oriented approaches, which are based on a graph representation of the program information flow, and domain-oriented approaches, which essentially consist of the definition of some appropriate abstract domains representing the program property to be analysed. To illustrate these two perspectives concretely, we also present in detail two specific analyses: a dataflow analysis for managing quantum variables and uncomputation, and a static analysis based on abstract interpretation for detecting state entanglement. [ABSTRACT FROM AUTHOR]
Copyright of International Journal on Software Tools for Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Challenges in Quantum Programs Analysis.
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  Data: <searchLink fieldCode="AR" term="%22Assolini%2C+Nicola%22">Assolini, Nicola</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> nicola.assolini@univr.it</i><br /><searchLink fieldCode="AR" term="%22Di+Pierro%2C+Alessandra%22">Di Pierro, Alessandra</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alessandra.dipierro@univr.it</i><br /><searchLink fieldCode="AR" term="%22Mastroeni%2C+Isabella%22">Mastroeni, Isabella</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> isabella.mastroeni@univr.it</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+on+Software+Tools+for+Technology+Transfer%22">International Journal on Software Tools for Technology Transfer</searchLink>. Jun2026, Vol. 28 Issue 3, p345-374. 30p.
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  Data: <searchLink fieldCode="DE" term="%22Data+flow+computing%22">Data flow computing</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+entanglement%22">Quantum entanglement</searchLink><br /><searchLink fieldCode="DE" term="%22Quantum+computing%22">Quantum computing</searchLink><br /><searchLink fieldCode="DE" term="%22Software+verification%22">Software verification</searchLink><br /><searchLink fieldCode="DE" term="%22Qubits%22">Qubits</searchLink>
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  Data: The rapid progress of quantum technologies, fostered by the efforts of both academia and industry, has stimulated the design of quantum programming languages and the development of methods to support their verification and optimization. As in the classical setting, static analysis plays a fundamental role in such an endeavour. In this paper, we provide a survey on static analysis approaches for quantum programs, which have been proposed in the literature, distinguishing between dataflow-oriented approaches, which are based on a graph representation of the program information flow, and domain-oriented approaches, which essentially consist of the definition of some appropriate abstract domains representing the program property to be analysed. To illustrate these two perspectives concretely, we also present in detail two specific analyses: a dataflow analysis for managing quantum variables and uncomputation, and a static analysis based on abstract interpretation for detecting state entanglement. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal on Software Tools for Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2026
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