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Quantum Computing for Healthcare: A Review

Author

Listed:
  • Raihan Ur Rasool

    (College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia)

  • Hafiz Farooq Ahmad

    (Computer Science Department, College of Computer Sciences and Information Technology (CCSIT), King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia)

  • Wajid Rafique

    (Department of Electrical and Software Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada)

  • Adnan Qayyum

    (Department of Computer Science, Information Technology University (ITU), Lahore 40050, Pakistan)

  • Junaid Qadir

    (Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha 2713, Qatar)

  • Zahid Anwar

    (Department of Computer Science, Sheila and Robert Challey Institute for Global Innovation and Growth, North Dakota State University (NDSU), Fargo, ND 58108, USA)

Abstract

In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia and industry due to its ability to process information in fundamentally different ways, leading to hitherto unattainable computational capabilities. However, despite its potential, the full extent of quantum computing’s impact on healthcare remains largely unexplored. This survey paper presents the first systematic analysis of the various capabilities of quantum computing in enhancing healthcare systems, with a focus on its potential to revolutionize compute-intensive healthcare tasks such as drug discovery, personalized medicine, DNA sequencing, medical imaging, and operational optimization. Through a comprehensive analysis of existing literature, we have developed taxonomies across different dimensions, including background and enabling technologies, applications, requirements, architectures, security, open issues, and future research directions, providing a panoramic view of the quantum computing paradigm for healthcare. Our survey aims to aid both new and experienced researchers in quantum computing and healthcare by helping them understand the current research landscape, identifying potential opportunities and challenges, and making informed decisions when designing new architectures and applications for quantum computing in healthcare.

Suggested Citation

  • Raihan Ur Rasool & Hafiz Farooq Ahmad & Wajid Rafique & Adnan Qayyum & Junaid Qadir & Zahid Anwar, 2023. "Quantum Computing for Healthcare: A Review," Future Internet, MDPI, vol. 15(3), pages 1-36, February.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:3:p:94-:d:1082512
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    References listed on IDEAS

    as
    1. George J. Mailath, 1998. "Corrigenda [Do People Play Nash Equilibrium? Lessons from Evolutionary Game Theory]," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 1941-1941, December.
    2. Siddique Latif & Junaid Qadir & Shahzad Farooq & Muhammad Ali Imran, 2017. "How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?," Future Internet, MDPI, vol. 9(4), pages 1-24, December.
    3. William J. Huggins & Bryan A. O’Gorman & Nicholas C. Rubin & David R. Reichman & Ryan Babbush & Joonho Lee, 2022. "Unbiasing fermionic quantum Monte Carlo with a quantum computer," Nature, Nature, vol. 603(7901), pages 416-420, March.
    4. George J. Mailath, 1998. "Do People Play Nash Equilibrium? Lessons from Evolutionary Game Theory," Journal of Economic Literature, American Economic Association, vol. 36(3), pages 1347-1374, September.
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    Cited by:

    1. Anna Owczarczyk, 2023. "Wykorzystanie e-recepty jako narzędzia wspierającego świadczenie usług w podmiotach ochrony zdrowia," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 3, pages 13-30.
    2. Roberta Avanzato & Francesco Beritelli & Alfio Lombardo & Carmelo Ricci, 2023. "Heart DT: Monitoring and Preventing Cardiac Pathologies Using AI and IoT Sensors," Future Internet, MDPI, vol. 15(7), pages 1-16, June.
    3. Gianluca Reali & Mauro Femminella, 2024. "Artificial Intelligence to Reshape the Healthcare Ecosystem," Future Internet, MDPI, vol. 16(9), pages 1-33, September.

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