The DOI matches its Crossref record; 183 of the 187 references it cites were found in a registry or an index.
Quantum Computing for Healthcare: A Review
Open accessAbstract
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.
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In the citing paper
“QTs have the potential to revolutionize healthcare and medicine (Batool et al., 2022; Ur Rasool et al., 2023).”
From Quantum technology for development framework as a tool for science diplomacy (2023) · cites this paper as Ur Rasool et al., 2023
Citations
Cites
2 retracted
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Cited by
Sorted by citations
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Qayyum, A., Ahmad, K., Ahsan, M. A., Al-Fuqaha, A., & Qadir, J. (2022) · IEEE Open Journal of the Computer Society · doi:10.1109/ojcs.2022.3206407 · Cited by 345
Self-citationYelne, S., Chaudhary, M., Dod, K., Sayyad, A., & Sharma, R. (2023) · Cureus · doi:10.7759/cureus.49252 · Cited by 190
Yalli, J. S., Hasan, M. H., & Badawi, A. A. (2024) · IEEE Access · doi:10.1109/access.2024.3418995 · Cited by 134
Gujju, Y., Matsuo, A., & Raymond, R. (2024) · Physical Review Applied · doi:10.1103/physrevapplied.21.067001 · Cited by 104
Das, U. (2025) · Medicine in Drug Discovery · doi:10.1016/j.medidd.2025.100213 · Cited by 91
Metadata
- Authors
- Ur Rasool, R., Ahmad, H. F., Rafique, W., Qayyum, A., Qadir, J., & Anwar, Z.
- Affiliations
- College of Engineering and Science, Victoria University, Melbourne, VIC 8001, Australia
- King Faisal University (SA)
- University of Calgary (CA)
- Information Technology University (PK)
- Qatar University (QA)
- North Dakota State University (US)
- Corresponding author
- Rafique, Wajid
- Venue
- Future Internet
- Publisher
- MDPI AG
- Published
- 2023-02-27
- Volume
- 15
- Issue
- 3
- Pages
- 94
- ISSN
- 1999-5903 (ISSN-L)
- OpenAlex
- W4322628972
- Cited by
- 242
- References
- 187
- Citations by year
- 2026: 58 · 2025: 92 · 2024: 68 · 2023: 23
- FWCI
- 22.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Future Internet (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Information and Cryptography
- Keywords
- quantum computing, medical applications, drug discovery, personalized medicine, DNA sequencing, diagnostic imaging, operational optimization, quantum computing architecture, quantum security
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