Quantum Computing for Health Care: A Review on Implementation Trends and Recent Advances

Kumar, Avinash; Bhushan, Bharat; Shriti, Sonal; Nand, Parma

doi:10.1007/978-981-19-0924-5_2

Cited by 9 publications

(4 citation statements)

References 55 publications

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“…Many of these surveys are only tangentially related to healthcare or do not consider healthcare at all. Gyongyosi et al [8] Fernandez et al [9] Gyongyosi et al [10] Arunachalam et al [11] Li et al [12] Shaikh et al [19] Egger et al [24] Savchuk et al [25] Zhang et al [13] Mcgeoch et al [26] Shanon et al [14] Duan et al [27] Preskill et al [28] Roetteler et al [15] Upretyet al [20] Rowell et al [29] Padamvathi et al [16] Nejatollahi et al [30] Cuomo et al [23] Fingeruth et al [31] Huang et al [21] Botsinis et al [22] Ramezani et al [17] Bharti et al [18] Abbott et al [32] Kumar et al [33] Olgiati et al [34] Gupta et al [35] Kumar et al [36] Our Survey…”

Section: Comparison With Related Surveysmentioning

confidence: 99%

Quantum Computing for Healthcare: A Review

et al. 2023

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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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Section: Comparison With Related Surveysmentioning

confidence: 99%

Quantum Computing for Healthcare: A Review

et al. 2023

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“…BT 3 is the relationship score between the output (z) and hardware (y) and is derived using Eq. (7).…”

Section: Maintain Chain Of Trust and Trust Scorementioning

confidence: 99%

“…Controlling access to data in healthcare systems is a major challenge for any service provider. While promoting the idea of smart hospitals and telehealth, it is required to look deeply into the existing regulation and access control systems to be more valid in the context of using new technologies like Internet of Things (IoT) devices, Cloud [1], AI [2,3], Blockchain [4,5], Quantum computing [6,7] and 5G networks [8]. There are different types of smart IoT devices in the healthcare environment, as listed below:…”

Section: Introductionmentioning

confidence: 99%

Zero Trust Context-Aware Access Control Framework for IoT Devices in Healthcare Cloud AI Ecosystem

Al-hammuri,

Gebali,

Kanan

et al. 2023

Preprint

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It is essential for modern healthcare systems to utilize the Internet of Things (IoT) devices that facilitate and establish the infrastructure for smart hospitals and telehealth. The advancement in telehealth technology and the increasing penetration of IoT devices make them vulnerable to different types of attacks, which require additional research and development for security tools. This article proposes a zero trust context-aware framework to manage the access of the main components in the cloud ecosystem, the users, IoT devices and output data. The framework also considers regulatory compliance and maintains the chain of trust by proposing a critical and bond trust scoring assessment that is based on a set of features and cloud-native micro-services, including authentication, encryption, logging, authorizations and machine learning like the word2vec model within Cloud AI ecosystem.

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“…Multiple surveys on quantum computing have been presented in the literature. For instance, Gyongyosi et al [4] discuss computational limitations of traditional systems and survey superposition and quantum entanglement-based solutions to over- [5] ✓ ✓ ✓ ✓ Gyongyosi et al [6] ✓ ✓ Arunachalam et al [7] ✓ Li et al [8] ✓ ✓ Shaikh et al [9] ✓ ✓ ✓ ✓ Egger et al [10] ✓ ✓ ✓ ✓ ✓ Savchuk et al [11] ✓ ✓ ✓ ✓ ✓ Zhang et al [12] ✓ ✓ ✓ ✓ ✓ ✓ ✓ Mcgeoch et al [13] ✓ ✓ ✓ ✓ Shanon et al [14] ✓ ✓ Duan et al [15] ✓ ✓ ✓ ✓ ✓ Preskill et al [16] ✓ ✓ ✓ ✓ ✓ ✓ ✓ Roetteler et al [17] ✓ ✓ ✓ ✓ ✓ Upretyet al [18] ✓ ✓ ✓ ✓ ✓ Rowell et al [19] ✓ ✓ ✓ Padamvathi et al [20] ✓ ✓ ✓ ✓ Nejatollahi et al [21] ✓ ✓ ✓ ✓ Cuomo et al [22] ✓ ✓ Fingeruth et al [23] ✓ ✓ Huang et al [24] ✓ ✓ ✓ ✓ Botsinis et al [25] ✓ ✓ ✓ ✓ Ramezani et al [26] ✓ ✓ ✓ Bharti et al [27] ✓ ✓ ✓ ✓ Abbott et al [28] ✓ ✓ ✓ Kumar et al [29] ✓ ✓ ✓ ✓ Olgiati et al [30] ✓ ✓ ✓ Gupta et al [31] ✓ ✓ ✓ ✓ Kumar et al [32] ✓ ✓ Our Survey ✓ ✓ ✓ ✓ ✓ ✓ ✓ come these challenges. However, this survey encompasses complex quantum mechanics without discussing its general-purpose implications for society.…”

Section: Comparison With Related Surveysmentioning

confidence: 99%

Quantum Computing for Healthcare: A Review

Rasool¹,

Ahmad²,

Rafique³

et al. 2022

Preprint

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<p>Quantum computing uses fundamentally different ways of information processing compared to traditional computing systems such as the use of qubits (quantum bits) and the quantum properties of subatomic particles such as interference, entanglement and superposition to extend the computational capabilities to hitherto unprecedented levels. Although quantum computing systems promise to provide exponential performance benefits in processing, the field is still in an embryonic phase with active ongoing research and development. The efficacy of quantum computing for important verticals such as healthcare---where quantum computing can enable important breakthroughs such as developing drugs, quick DNA sequencing, processing big healthcare data, and performing other compute-intensive tasks---is not yet fully explored. Keeping in view, this article explores this area and analyzes the potential of quantum computing for healthcare systems. We explore various dimensions within healthcare ecosystem where quantum computing could introduce new possibilities through higher computational speed to perform complex healthcare computations. Implementations of quantum computing in the healthcare scenarios have their own unique set of requirements. And therefore, we not only identify those key elements but also present a taxonomy of existing literature around quantum-based healthcare ecosystem, distinguishing cryptography in classical vs modern era along the way. Finally, we explore current challenges, their causes, and future research directions in implementing quantum computing systems in healthcare. </p>

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Quantum Computing for Health Care: A Review on Implementation Trends and Recent Advances

Cited by 9 publications

References 55 publications

Quantum Computing for Healthcare: A Review

Quantum Computing for Healthcare: A Review

Zero Trust Context-Aware Access Control Framework for IoT Devices in Healthcare Cloud AI Ecosystem

Quantum Computing for Healthcare: A Review

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