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Article

Automated Quantum Hardware Selection for Quantum Workflows

University of Stuttgart, Institute of Architecture of Application Systems, Universitätsstraße 38, 70569 Stuttgart, Germany
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Academic Editor: Koen Bertels
Electronics 2021, 10(8), 984; https://doi.org/10.3390/electronics10080984
Received: 25 March 2021 / Revised: 15 April 2021 / Accepted: 17 April 2021 / Published: 20 April 2021
(This article belongs to the Special Issue Quantum Computing System Design and Architecture)
The execution of a quantum algorithm typically requires various classical pre- and post-processing tasks. Hence, workflows are a promising means to orchestrate these tasks, benefiting from their reliability, robustness, and features, such as transactional processing. However, the implementations of the tasks may be very heterogeneous and they depend on the quantum hardware used to execute the quantum circuits of the algorithm. Additionally, today’s quantum computers are still restricted, which limits the size of the quantum circuits that can be executed. As the circuit size often depends on the input data of the algorithm, the selection of quantum hardware to execute a quantum circuit must be done at workflow runtime. However, modeling all possible alternative tasks would clutter the workflow model and require its adaptation whenever a new quantum computer or software tool is released. To overcome this problem, we introduce an approach to automatically select suitable quantum hardware for the execution of quantum circuits in workflows. Furthermore, it enables the dynamic adaptation of the workflows, depending on the selection at runtime based on reusable workflow fragments. We validate our approach with a prototypical implementation and a case study demonstrating the hardware selection for Simon’s algorithm. View Full-Text
Keywords: quantum computing; quantum applications; quantum software; hardware selection; workflow technology; quantum workflows; BPMN; modeling extension; QuantME quantum computing; quantum applications; quantum software; hardware selection; workflow technology; quantum workflows; BPMN; modeling extension; QuantME
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MDPI and ACS Style

Weder, B.; Barzen, J.; Leymann, F.; Salm, M. Automated Quantum Hardware Selection for Quantum Workflows. Electronics 2021, 10, 984. https://doi.org/10.3390/electronics10080984

AMA Style

Weder B, Barzen J, Leymann F, Salm M. Automated Quantum Hardware Selection for Quantum Workflows. Electronics. 2021; 10(8):984. https://doi.org/10.3390/electronics10080984

Chicago/Turabian Style

Weder, Benjamin, Johanna Barzen, Frank Leymann, and Marie Salm. 2021. "Automated Quantum Hardware Selection for Quantum Workflows" Electronics 10, no. 8: 984. https://doi.org/10.3390/electronics10080984

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