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This paper introduces the Quantum Execution Locality Framework (QELF) to categorize hybrid quantum-classical workflows by their dataflow structures and QPU residency patterns. By identifying five recurring computational patterns, it provides a critical vocabulary for optimizing communication overhead and guiding the co-design of future hybrid computing architectures. This work addresses a fundamental gap in understanding execution behavior beyond individual algorithms, directly advancing the efficiency of near-term quantum applications.
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Dataflows and Computational Patterns for Hybrid Quantum-Classical Scientific Computing

arXiv2 min read

arXiv:2608.19348v1 Announce Type: new Abstract: Hybrid quantum-classical computing has emerged as the dominant paradigm for near-term quantum applications, yet hybrid workflows are typically described by individual algorithms rather than their underlying execution behavior. We introduce the Quantum Execution Locality Framework (QELF), a qualitative framework for characterizing hybrid quantum-classical workflows according to recurring dataflow structures and quantum execution locality, the extent to which computation remains resident on the Quantum Processing Unit (QPU) before host intervention or classical synchronization. From a representative cross-section of applications, QELF identifies five recurring computational patterns with distinct locality characteristics and discusses their implications for communication overhead, workflow organization, and future hybrid computing architectures. By providing a common vocabulary for reasoning about hybrid workloads, QELF establishes a foundation for future quantitative validation and the co-design of algorithms, runtime systems, and hybrid computing architectures.

Abstract:Hybrid quantum-classical computing has emerged as the dominant paradigm for near-term quantum applications, yet hybrid workflows are typically described by individual algorithms rather than their underlying execution behavior. We introduce the Quantum Execution Locality Framework (QELF), a qualitative framework for characterizing hybrid quantum-classical workflows according to recurring dataflow structures and quantum execution locality, the extent to which computation remains resident on the Quantum Processing Unit (QPU) before host intervention or classical synchronization. From a representative cross-section of applications, QELF identifies five recurring computational patterns with distinct locality characteristics and discusses their implications for communication overhead, workflow organization, and future hybrid computing architectures. By providing a common vocabulary for reasoning about hybrid workloads, QELF establishes a foundation for future quantitative validation and the co-design of algorithms, runtime systems, and hybrid computing architectures.

4 pages. Accepted to the IEEE Quantum Week 2026 Workshop on Advancing Hybrid Computing Through Shared Challenges (WKS115)

arXiv:2608.19348 [quant-ph]

(or arXiv:2608.19348v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.19348 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 238 words

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