Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Present landscape of quantum computing

This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Received 30/09/2020, Accepted 11/11/2020, Revised 03/11/2020, Published 14/11/2020

Quantum computing is currently a topic of interest that harnesses the phenomena of quantum mechanics. It can address several scientific challenges and generate new business opportunities. Recently, for the first time in the history of quantum computing, the authors are starting to see practical applications. Keeping this in mind, this article is designed to explore the field without any required prerequisites. The authors start with a brief overview of the fundamentals of quantum computing and also outline several applications. The timeline for widespread adoption cannot be predicted, but quite a few organisations have built the first generation of quantum computers using various hardware technologies. The authors have briefly covered the wide landscape of hardware technologies. The first generation of quantum computers can be programmed using available software development kits and accessed using online cloud services. Furthermore, the growing trend in investments and patents in the field of quantum computing is also presented. A major reason for this trend is the threat that quantum computers pose against cryptography.

Inspec keywords: cloud computing; quantum computing

Other keywords: quantum computers; quantum computing

Subjects: Internet software; Quantum computation

References

    1. 1)
      • 20. ‘Announcing cirq: An open source framework for NISQ algorithms’, 2018. Available at: https://ai.googleblog.com/2018/07/announcing-cirq-open-source-framework.html.
    2. 2)
      • 5. Montanaro, A.: ‘Quantum algorithms: an overview’, Npj Quantum Inf., 2016, 2, (1), pp. 1–8.
    3. 3)
      • 8. Moses, T.: ‘Quantum computing and cryptography’ (Entrust Inc, Dallas, Texas, United States, January, 2009).
    4. 4)
      • 4. Nielsen, M.A., Chuang, I.: ‘Quantum computation and quantum information’ (American Association of Physics Teachers, Maryland, United States, 2002).
    5. 5)
      • 11. Kjaergaard, M., Schwartz, M.E., Braumüller, J., et al: ‘Superconducting qubits: current state of play’, Annu. Rev. Condens. Matter Phys., 2020, 11, pp. 369–395.
    6. 6)
      • 1. Feynman, R.P.: ‘Simulating physics with computers’, Int. J. Theor. Phys., 1999, 21, (6/7), pp. 467–488.
    7. 7)
      • 7. Gerbert, P., Rueß, F.: ‘The next decade in quantum computing and how to play’, Boston Consulting Group, November 2018.
    8. 8)
      • 14. Lahtinen, V., Pachos, J.K.: ‘A short introduction to topological quantum computation’, SciPost Physics, 2017, 3, (3), pp. 1–43.
    9. 9)
      • 22. Haney, B.S.: ‘Quantum patents’, Available at SSRN 3554925, 2020.
    10. 10)
      • 6. Langione, M., Kumar, A., Tillemann-Dick, C., et al: ‘Where will quantum computers create value–and when?’, Boston Consulting Group, November 2019, Available at: https://www.bcg.com/publications/2019/quantum-computers-create-value-when.
    11. 11)
      • 17. Purkeypile, M.: ‘Cove: A practical quantum computer programming framework’, arXiv preprint arXiv:09112423, 2009.
    12. 12)
      • 12. Aleksandrowicz, G., Alexander, T., Barkoutsos, P., et al: ‘Qiskit: an open-source framework for quantum computing’, Accessed on: Mar, 2019, vol. 16.
    13. 13)
      • 10. Preskill, J.: ‘Quantum computing in the NISQ era and beyond’, Quantum, 2018, 2, p. 79.
    14. 14)
      • 2. Srivastava, R., Choi, I., Cook, T., et al: ‘The commercial prospects for quantum computing’, Networked Quantum Inf. Technol., 2016, 1, (1), pp. 1–48.
    15. 15)
      • 18. ‘Experience quantum impact with azure quantum’, 2019. Available at: https://cloudblogs.microsoft.com/quantum/2019/11/04/announcing-microsoft-azure-quantum/.
    16. 16)
      • 13. Buluta, I., Nori, F.: ‘Quantum simulators’, Science, 2009, 326, (5949), pp. 108–111.
    17. 17)
      • 3. Ploughman, L.: ‘IBM's Q quantum computer. CC-BY-SA 2.0 via flickr’. Available at: https://www.flickr.com/photos/criminalintent/39660636671/in/photostream/.
    18. 18)
      • 19. Steiger, D.S., Häner, T., Troyer, M.: ‘Projectq: an open source software framework for quantum computing’, Quantum, 2018, 2, p. 49.
    19. 19)
      • 9. Mavroeidis, V., Vishi, K., Zych, M.D., et al: ‘The impact of quantum computing on present cryptography’, arXiv preprint arXiv:180400200, 2018.
    20. 20)
      • 15. Cross, A.W., Bishop, L.S., Smolin, J.A., et al: ‘Open quantum assembly language’, arXiv preprint arXiv:170703429, 2017.
    21. 21)
      • 16. Smith, R.S., Curtis, M.J., Zeng, W.J.: ‘A practical quantum instruction set architecture’, 2016.
    22. 22)
      • 21. Killoran, N., Izaac, J., Quesada, N., et al: ‘Strawberry fields: A software platform for photonic quantum computing’, Quantum, 2019, 3, p. 129.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-qtc.2020.0027
Loading

Related content

content/journals/10.1049/iet-qtc.2020.0027
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address