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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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“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
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Hussain, M., Wei, L.-F., Abbas, F., Rehman, A., Ali, M., & Lakhan, A. R. (2022) · Applied Soft Computing · doi:10.1016/j.asoc.2022.109440 · Cited by 77
Quantum machine learning with D‐wave quantum computer
Hu, F., Wang, B., Wang, N., & Wang, C. (2019) · Quantum Engineering · doi:10.1002/que2.12 · Cited by 76
Restricted attacks on semi-quantum key distribution protocols
Krawec, W. O. (2014) · Quantum Information Processing · doi:10.1007/s11128-014-0802-2 · Cited by 75
Quantum Key Distribution with Classical Bob
Boyer, M., Kenigsberg, D., & Mor, T. (2007) · International Conference on Quantum, Nano and Micro Technologies (ICQNM) · doi:10.1109/icqnm.2007.18 · Cited by 73
Probabilistic quantum gates between remote atoms through interference of optical frequency qubits
Duan, L., Madsen, M. J., Moehring, D. L., Maunz, P., Kohn, R. N., & Monroe, C. R. (2006) · Physical Review A · doi:10.1103/physreva.73.062324 · Cited by 73
Experimentally feasible protocol for semiquantum key distribution
Boyer, M., Katz, M., Liss, R., & Mor, T. (2017) · Physical Review A · doi:10.1103/physreva.96.062335 · Cited by 73
Implementation vulnerabilities in general quantum cryptography
Huang, A., Barz, S., Andersson, E., & Makarov, V. (2018) · New Journal of Physics · doi:10.1088/1367-2630/aade06 · Cited by 73
Practical Annealing-Based Quantum Computing
McGeoch, C. C., Harris, R., Reinhardt, S. P., & Bunyk, P. (2019) · Computer · doi:10.1109/mc.2019.2908836 · Cited by 70
QUANTUM KEY DISTRIBUTION WITH CLASSICAL ALICE
Lu, H., & Cai, Q.-Y. (2008) · International Journal of Quantum Information · doi:10.1142/s0219749908004353 · Cited by 70
Quantum Computing in Big Data Analytics: A Survey
Shaikh, T. A., & Ali, R. (2016) · IEEE International Conference on Computer and Information Technology (CIT) · doi:10.1109/cit.2016.79 · Cited by 70
Quantum Computing Opportunities in Renewable Energy
Giani, A., & Eldredge, Z. (2021) · SN Computer Science · doi:10.1007/s42979-021-00786-3 · Cited by 68
Niraula, D., Jamaluddin, J., Matuszak, M. M., Haken, R. K. T., & Naqa, I. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-02910-y · Cited by 66
Security of Distributed-Phase-Reference Quantum Key Distribution
Moroder, T., Curty, M., Lim, C. C. W., Le, T. P., Zbinden, H., & Gisin, N. (2012) · Physical Review Letters · doi:10.1103/physrevlett.109.260501 · Cited by 64
Security of quantum key distribution with arbitrary individual imperfections
Marøy, Ø., Lydersen, L., & Skaar, J. (2010) · Physical Review A · doi:10.1103/physreva.82.032337 · Cited by 62
Zhao, Y., Zhang, Y., Xu, B., Yu, S., & Guo, H. M. (2018) · Physical Review A · doi:10.1103/physreva.97.042328 · Cited by 61
Secure and robust machine learning for healthcare: A survey
Qayyum, A., Qadir, J., Bilal, M., & Al-Fuqaha, A. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.3013489 · Cited by 59
Self-citationMachine learning meets quantum foundations: A brief survey
Bharti, K., Haug, T., Vedral, V., & Kwek, L.-C. (2020) · AVS Quantum Science · doi:10.1116/5.0007529 · Cited by 59
Semi-Quantum Key Distribution Protocols with GHZ States
Zhu, K., Zhou, N., Wang, Y.-Q., & Wen, X. (2018) · International Journal of Theoretical Physics · doi:10.1007/s10773-018-3875-3 · Cited by 58
Cloud based QC with Amazon Braket
Gonzalez, C. (2021) · Digitale Welt · doi:10.1007/s42354-021-0330-z · Cited by 56
Security of Device-Independent Quantum Key Distribution in the Bounded-Quantum-Storage Model
Pironio, S., Masanes, L., Leverrier, A., & Acín, A. (2013) · Physical Review X · doi:10.1103/physrevx.3.031007 · Cited by 55
Implementation vulnerabilities in general quantum cryptography
Huang, A., Barz, S., Andersson, E., & Makarov, V. (2018) · OPUS Publication Server of the University of Stuttgart (University of Stuttgart) · doi:10.18419/opus-18261 · Cited by 55
Trojan-horse attacks on quantum key distribution with classical Bob
Yang, Y., Sun, S.-J., & Zhao, Q. (2014) · Quantum Information Processing · doi:10.1007/s11128-014-0872-1 · Cited by 54
Semiquantum key distribution with secure delegated quantum computation
Li, Q., Chan, W. H., & Zhang, S. (2016) · Scientific Reports · doi:10.1038/srep19898 · Cited by 54
Quantum Communication with Ultrafast Time-Bin Qubits
Bouchard, F., England, D. G., Bustard, P. J., Heshami, K., & Sussman, B. (2022) · PRX Quantum · doi:10.1103/prxquantum.3.010332 · Cited by 54
A secure medical image transmission scheme aided by quantum representation
Janani, T., & Brindha, M. (2021) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2021.102832 · Cited by 50
Finite-key security analysis for quantum key distribution with leaky sources
Wang, W., Tamaki, K., & Curty, M. (2018) · New Journal of Physics · doi:10.1088/1367-2630/aad839 · Cited by 50
Security of Quantum Key Distribution with Coherent States and Homodyne Detection
Iblisdir, S., Assche, G. V., & Cerf, N. J. (2004) · Physical Review Letters · doi:10.1103/physrevlett.93.170502 · Cited by 45
McKague, M. (2009) · New Journal of Physics · doi:10.1088/1367-2630/11/10/103037 · Cited by 44
Finite-key analysis for measurement-device-independent quantum key distribution
Song, T., Wen, Q., Guo, F.-Z., & Tan, X. (2012) · Physical Review A · doi:10.1103/physreva.86.022332 · Cited by 44
Toward the institutionalization of quantum computing in pharmaceutical research
Zinner, M., Dahlhausen, F., Boehme, P., Ehlers, J., Bieske, L., & Fehring, L. (2022) · Drug Discovery Today · doi:10.1016/j.drudis.2021.10.006 · Cited by 43
Quantum Computing: Survey and Analysis
Савчук, М. М., & Fesenko, A. (2019) · Cybernetics and Systems Analysis · doi:10.1007/s10559-019-00107-w · Cited by 42
A Survey of Quantum Theory Inspired Approaches to Information Retrieval
Uprety, S., Gkoumas, D., & Song, D. (2020) · ACM Computing Surveys · doi:10.1145/3402179 · Cited by 42
Security analysis of an untrusted source for quantum key distribution: passive approach
Zhao, Y., Qi, B., Lo, H.-K., & Qian, L. (2010) · New Journal of Physics · doi:10.1088/1367-2630/12/2/023024 · Cited by 41
Quantum computational investigations and molecular docking studies on amentoflavone
Marinho, M. M., Almeida-Neto, F. W. Q., Marinho, E. M., da Silva, L. P., de Menezes, R. R. P. P. B., dos Santos, R. P., Marinho, E. S., de Lima‐Neto, P., & Martins, A. M. C. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06079 · Cited by 39
Estimating Algorithmic Information Using Quantum Computing for Genomics Applications
Sarkar, A., Al-Ars, Z., & Bertels, K. (2021) · Applied Sciences · doi:10.3390/app11062696 · Cited by 38
Designing a Million-Qubit Quantum Computer Using a Resource Performance Simulator
Ahsan, M., Meter, R. V., & Kim, J. (2015) · ACM Journal on Emerging Technologies in Computing Systems · doi:10.1145/2830570 · Cited by 37
Naresh, V. S., Nasralla, M. M., Reddi, S., & García‐Magariño, I. (2020) · Sensors · doi:10.3390/s20143940 · Cited by 36
Biased decoy-state measurement-device-independent quantum key distribution with finite resources
Zhou, C. H., Bao, W., Zhang, H., Li, H.-W., Wang, Y., Li, Y., & Wang, X. (2015) · Physical Review A · doi:10.1103/physreva.91.022313 · Cited by 35
Computing with a single qubit faster than the computation quantum speed limit
Sinitsyn, N. A. (2017) · Physics Letters A · doi:10.1016/j.physleta.2017.12.042 · Cited by 33
Koyama, T., Shibata, N., Kino, S., Sugiyama, A., Akikusa, N., & Matsuura, Y. (2020) · Sensors · doi:10.3390/s20123438 · Cited by 33
Towards a feasible implementation of quantum neural networks using quantum dots
Altaisky, M. V., Zolnikova, N. N., Kaputkina, N. E., Krylov, V. A., Lozovik, Y. E., & Dattani, N. S. (2016) · Applied Physics Letters · doi:10.1063/1.4943622 · Cited by 32
Quantum Computing: Codebreaking and Beyond
Roetteler, M., & Svore, K. M. (2018) · IEEE Security & Privacy · doi:10.1109/msp.2018.3761710 · Cited by 30
Zhang, H., Mao, Y., Huang, D., Li, J., Zhang, L., & Guo, Y. (2018) · Physical Review A · doi:10.1103/physreva.97.052328 · Cited by 30
Measurement-device-independent semiquantum key distribution
He, J., Li, Q., Wu, C., Chan, W. H., & Zhang, S. (2018) · International Journal of Quantum Information · doi:10.1142/s0219749918500120 · Cited by 30
Versatile and Concurrent FPGA-Based Architecture for Practical Quantum Communication Systems
Stanco, A., Santagiustina, F. B. L., Calderaro, L., Avesani, M., Bertapelle, T., Dequal, D., Vallone, G., & Villoresi, P. (2022) · IEEE Transactions on Quantum Engineering · doi:10.1109/tqe.2022.3143997 · Cited by 30
Quantum Computing for Health Care: A Review on Implementation Trends and Recent Advances
Kumar, A., Bhushan, B., Shriti, S., & Nand, P. (2022) · Studies in big data · doi:10.1007/978-981-19-0924-5_2 · Cited by 28
A survey on quantum positioning system
Duan, S., Cong, S., & Song, Y. (2020) · International Journal of Modelling and Simulation · doi:10.1080/02286203.2020.1738035 · Cited by 27
Heidari, N., Olgiati, S., Meloni, D., Pirovano, F., Noorani, A. M., SLEVIN, M. A., & Azamfirei, L. (2024) · Cureus · doi:10.7759/cureus.52093 · Cited by 25
Quantum Mechanics and the Future of Healthcare Leadership
Porter‐O’Grady, T. (1997) · JONA The Journal of Nursing Administration · doi:10.1097/00005110-199701000-00006 · Cited by 25
Eavesdropping in semiquantum key distribution protocol
Maitra, A., & Paul, G. (2013) · Information Processing Letters · doi:10.1016/j.ipl.2013.03.008 · Cited by 23
Quantum digital signature for the access control of sensitive data in the big data era
Qiu, L., Cai, F., & Xu, G. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.03.053 · Cited by 22
Quantum Machine Learning Algorithm for Knowledge Graphs
Ma, Y., & Volker Tresp, C. (2021) · ACM Transactions on Quantum Computing · doi:10.1145/3467982 · Cited by 21
Finite-key bound for semi-device-independent quantum key distribution
Zhou, C. H., Xu, P., Bao, W., Wang, Y., Zhang, Y., Jiang, M.-S., & Li, H.-W. (2017) · Optics Express · doi:10.1364/oe.25.016971 · Cited by 21
Quantum computers to explore precision oncology
Abbott, A. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01116-x · Cited by 20
Hastings, J. (2002) · Nursing Philosophy · doi:10.1046/j.1466-769x.2002.00108.x · Cited by 13
Exploring Potential of Quantum Computing in Creating Smart Healthcare
Malviya, R., & Sundram, S. (2021) · The Open Biology Journal · doi:10.2174/1874196702109010056 · Cited by 12
Quantum computer architecture for fast entropy extraction
Steane, A. M. (2002) · Quantum Information and Computation · doi:10.26421/qic2.4-3 · Cited by 11
Objective function estimation for solving optimization problems in gate-model quantum computers
Gyöngyösi, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-71007-9 · Cited by 11
Quantum Physics Principles and Communication in the Acute Healthcare Setting: A Pilot Study
Helgeson, H. L., Peyerl, C., & Solheim-Witt, M. (2016) · EXPLORE · doi:10.1016/j.explore.2016.08.007 · Cited by 11
Towards negotiable privacy policies in mobile healthcare
Sadki, S., & Bakkali, H. E. (2015) · International Conference on the Innovative Computing Technology (INTECH) · doi:10.1109/intech.2015.7173478 · Cited by 10
Li, C. (2018) · Quantum Information Processing · doi:10.1007/s11128-018-2003-x · Cited by 9
Design of Logistic Regression Health Assessment Model Using Novel Quantum PSO
Liu, Z., Liang, X., & Huang, M. (2018) · International Conference on Cloud Computing and Internet of Things (CCIOT) · doi:10.1109/cciot45285.2018.9032494 · Cited by 9
Device-independent quantum key distribution with generalized two-mode Schrödinger cat states
Broadbent, C. J., Marshall, K., Weedbrook, C., & Howell, J. C. (2015) · Physical Review A · doi:10.1103/physreva.92.052318 · Cited by 8
3D imaging with applications to displays, quantum imaging, optical security, and healthcare
Javidi, B. (2015) · Workshop on Information Optics · doi:10.1109/wio.2015.7206892 · Cited by 8
Childs, H. R. (2020) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25886/f8z9-t868 · Cited by 8
WITHDRAWNPreprint
Datta, S. (2021) · ChemRxiv · doi:10.26434/chemrxiv.13102877.v21 · Cited by 3
Quantum Inspired Machine Learning Algorithms for Adaptive Radiotherapy
Pakela, J. M. (2021) · Deep Blue (University of Michigan) · doi:10.7302/2999 · Cited by 3
Scaling Law in Large Quantum Devices with Dissipation
Watabe, S., Serikow, M. Z., Kawabata, S., & Zagoskin, A. M. (2021) · Bulletin of the American Physical Society · Cited by 1
The Physical Implementation of Quantum Computation
DiVincenzo, D. P. (2000) · Fortschritte der Physik · doi:10.1002/1521-3978(200009)48:9/11
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4 of the 187 references couldn’t be matched to a known paper.
Research works printed but not linked: 14
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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
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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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