Abstract
As the industry moves towards practical applications of quantum computing, it faces significant obstacles such as specific platform dependency and lack of mature tools. These obstacles make the creation of quantum applications a slow and complex process that requires specialized knowledge of quantum mechanics and computer science, which compromises the quality of quantum services. Therefore, the need to ensure an adequate level of quality in quantum software is fundamental. To address these challenges, this work proposes a process that enables developers to create high-quality quantum services in an automated and standardized way, using an extension of the OpenAPI specification. Furthermore, we analyze the challenges faced by NISQ devices, the most advanced quantum computers available today, due to errors and noise such as decoherence, gate errors, and readout errors. This process will make it possible to measure, at runtime, the stability and fidelity of the quantum circuits included in the generated quantum services.
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Notes
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The basic gates create the basis on which the rest of the gates that make up the circuit are composed.
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This consists on preparing a 0 state and measuring if a 1 is read and viceversa. Thus, these probabilities are related to the readout error.
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Acknowledgments
The authors would like to acknowledge the partial financial support by the Ministry of Science (QSERV project, PID2021-1240454OB-C31 and PID2021-124054OB-C33) funded by MCIN/AEI /10.13039/50100011033 and by “ERDF A way of making Europe”. Also, to the Basque Government (projects TRUSTIND - KK-2020/00054, and REMEDY - KK-2021/00091). It is also funded by the QSALUD project (EXP 00135977/MIG-20201059) in the lines of action of the Center for Technological Development and Innovation (CDTI); and by the Ministry of Economy and Digital Transformation of the Government of Spain through the call for the Quantum ENIA project - Quantum Spain Project, and by the European Union through the Recovery, Transformation and Resilience Plan - NextGenerationEU in the framework of the Agenda España Digital 2025.
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Alvarado-Valiente, J. et al. (2023). Improving the Quality of Quantum Services Generation Process: Controlling Errors and Noise. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems. HAIS 2023. Lecture Notes in Computer Science(), vol 14001. Springer, Cham. https://doi.org/10.1007/978-3-031-40725-3_16
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