Quantum Algorithm Cards: Streamlining the development of hybrid classical-quantum applications (2310.02598v1)
Abstract: The emergence of quantum computing proposes a revolutionary paradigm that can radically transform numerous scientific and industrial application domains. The ability of quantum computers to scale computations implies better performance and efficiency for certain algorithmic tasks than current computers provide. However, to gain benefit from such improvement, quantum computers must be integrated with existing software systems, a process that is not straightforward. In this paper, we investigate challenges that emerge when building larger hybrid classical-quantum computers and introduce the Quantum Algorithm Card (QAC) concept, an approach that could be employed to facilitate the decision making process around quantum technology.
- V. Stirbu, M. Haghparast, M. Waseem, N. Dayama, and T. Mikkonen, “Full-stack quantum software in practice: Ecosystem, stakeholders and challenges,” arXiv preprint arXiv:2307.16345, 2023.
- Cham: Springer International Publishing, 2022.
- A. Montanaro, “Quantum algorithms: an overview,” npj Quantum Information, vol. 2, p. 15023, Jan 2016.
- A. Cross, A. Javadi-Abhari, T. Alexander, N. De Beaudrap, L. S. Bishop, S. Heidel, C. A. Ryan, P. Sivarajah, J. Smolin, J. M. Gambetta, and B. R. Johnson, “Openqasm 3: A broader and deeper quantum assembly language,” ACM Transactions on Quantum Computing, vol. 3, sep 2022.
- T. Alexander, N. Kanazawa, D. J. Egger, L. Capelluto, C. J. Wood, A. Javadi-Abhari, and D. C. McKay, “Qiskit pulse: programming quantum computers through the cloud with pulses,” Quantum Science and Technology, vol. 5, p. 044006, aug 2020.
- D. Cuomo, M. Caleffi, and A. S. Cacciapuoti, “Towards a distributed quantum computing ecosystem,” IET Quantum Communication, vol. 1, no. 1, pp. 3–8, 2020.
- M. Haghparast, T. Mikkonen, J. K. Nurminen, and V. Stirbu, “Quantum software engineering challenges from developers’ perspective: Mapping research challenges to the proposed workflow model,” arXiv preprint arXiv:2308.01141, 2023.
- https://doi.org/10.5281/zenodo.8238667.
- L. K. Grover, “A fast quantum mechanical algorithm for database search,” in Proceedings of the twenty-eighth annual ACM symposium on Theory of computing, pp. 212–219, 1996.
- M. Mitchell, S. Wu, A. Zaldivar, P. Barnes, L. Vasserman, B. Hutchinson, E. Spitzer, I. D. Raji, and T. Gebru, “Model cards for model reporting,” in Proceedings of the Conference on Fairness, Accountability, and Transparency, FAT* ’19, (New York, NY, USA), p. 220–229, Association for Computing Machinery, 2019.
- M. Pushkarna, A. Zaldivar, and O. Kjartansson, “Data cards: Purposeful and transparent dataset documentation for responsible ai,” in Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, FAccT ’22, (New York, NY, USA), p. 1776–1826, Association for Computing Machinery, 2022.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.