Abstract
Quantum computing is a new paradigm for solving problems that classical computers cannot reach. To the point that it is already generating interest in the scientific and industrial communities. Currently, quantum computers and technology are being developed to support the execution of quantum software. Several large computer companies have already built functional quantum computers, and developed several programming languages and quantum simulators that can be used by the general public. All this infrastructure for quantum computing is offered to quantum developers through the cloud, following a model similar to the familiar Infrastructure as a Service. However, due to the early stages of quantum computing taking advantage of the capabilities of these computers requires a very in depth knowledge of quantum programming and quantum hardware that is far from what cloud developers are used to in classical cloud offerings. Although the future of quantum computing is still unknown, it is highly certain that there must be a time when quantum computing coexists with classical computing. At the same time, one of the most well-known and tested solutions for the communication of heterogeneous computing systems are web services. In this tutorial we will offer an introductory view on how quantum algorithms can be converted into web services, how this web services can be deployed, using the Amazon Braket platform for quantum computing, and invoked through classical web services endpoints. Finally, we will propose a way in which a disadvantage of current quantum computers in terms of web services can be transformed into an advantage for web services through the use of a Quantum API Gateway.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhao, J.: Quantum software engineering: landscapes and horizons. arXiv:2007.07047 (2020)
MacQuarrie, E.R., Simon, C., Simmons, S., Maine, E.: The emerging commercial landscape of quantum computing. Nat. Rev. Phys. 2(11), 596–598 (2020)
Neumann, N.M., van Heesch, M.P., Phillipson, F., Smallegange, A.A.: Quantum computing for military applications. In: 2021 International Conference on Military Communication and Information Systems (ICMCIS), pp. 1–8. IEEE (2021)
Piattini, M., Peterssen, G., Pérez-Castillo, R.: Quantum computing: a new software engineering golden age. SIGSOFT Softw. Eng. Notes 45(3), pp. 12–14, July 2020. https://doi.org/10.1145/3402127.3402131
Moguel, E., Berrocal, J., García-Alonso, J., Murillo, J.M.: A roadmap for quantum software engineering: applying the lessons learned from the classics. In: Q-SET@ QCE, pp. 5–13 (2020)
Pérez-Delgado, C.A., Perez-Gonzalez, H.G.: Towards a quantum software modeling language. In: Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops, pp. 442–444 (2020)
McCaskey, A., Dumitrescu, E., Liakh, D., Humble, T.: Hybrid programming for near-term quantum computing systems. In: 2018 IEEE International Conference on Rebooting Computing (ICRC), pp. 1–12. IEEE (2018)
Moguel, E., Rojo, J., Valencia, D., Berrocal, J., Garcia-Alonso, J., Murillo, J.M.: Quantum service-oriented computing: current landscape and challenges. Softw. Qual. J., 1–20 (2022). https://doi.org/10.1007/s11219-022-09589-y
Garcia-Alonso, J.M., Rojo, J., Valencia, D., Moguel, E., Berrocal, J., Murillo, J.M.: Quantum software as a service through a quantum API gateway. IEEE Internet Comput. 26(1), 34–41 (2021)
Acknowledgements
This work was supported by the projects 0499_4IE_PLUS_4_E (Interreg V-A España-Portugal 2014–2020), RTI2018-094591-B-I00 (MCIU/AEI/FEDER, UE), Junta de Extremadura, Regional Ministry of Economy, Science and Digital Agenda (GR21133), and the European Regional Development Fund.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Alvarado-Valiente, J., Romero-Álvarez, J., Garcia-Alonso, J., Murillo, J.M. (2022). A Guide for Quantum Web Services Deployment. In: Di Noia, T., Ko, IY., Schedl, M., Ardito, C. (eds) Web Engineering. ICWE 2022. Lecture Notes in Computer Science, vol 13362. Springer, Cham. https://doi.org/10.1007/978-3-031-09917-5_42
Download citation
DOI: https://doi.org/10.1007/978-3-031-09917-5_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-09916-8
Online ISBN: 978-3-031-09917-5
eBook Packages: Computer ScienceComputer Science (R0)