Quantum Computing for Healthcare: A Review

Raihan Ur Rasool, Hafiz Farooq Ahmad, Wajid Rafique (), Adnan Qayyum, Junaid Qadir and Zahid Anwar
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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

Future Internet, 2023, vol. 15, issue 3, 1-36

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.

Keywords: quantum computing; high-performance computing; quantum machine learning; healthcare (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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