A Method for Designing Hybrid Quantum-Classical Software Systems with Quantitative Guarantees
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[Submitted on 23 Jun 2026]
Summary
This paper presents a method for exploring the design trade-off space of hybrid quantum-classical software systems using Service-Oriented Architecture (SOA) principles. It addresses the challenge that quantum algorithms, while powerful for specific problems, cover only a limited subset of real-world computing needs and require expensive specialized hardware. The authors formalize an architectural style for hybrid applications and demonstrate that their method can identify decision boundaries, enabling dynamic selection of the most suitable hybrid or classical configuration based on user QoS criteria.
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Key quotes
· 5 pulledAddressing problems beyond classical computing limits is sparking an increasing interest in Quantum Computing.
Despite their adequacy to address specific problems, quantum algorithms cover a limited subset of the functionality required in real-world computing systems.
Hybrid (quantum-classical) software systems are emerging as a promising way to integrate both computing paradigms by applying the principles of Service-Oriented Architectures (SOA).
Architectural decisions need to be made by performing a trade-off analysis and providing quantitative guarantees of system configurations under prescribed levels of uncertainty.
The obtained results demonstrate that the proposed method successfully identifies decision boundaries.
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