Quantum computing seems to be an exciting topic to discuss as a technology that might facilitate substantial shifts in the industry and contribute to the improvement of the healthcare sector. While quantum technology might be useful in resolving many significant challenges in the future, it does not have any value in practical applications as long as it fails to provide practical, verified, and relevant applications in healthcare. Thus, the purpose of this study is to discuss the application of hybrid approaches that combine quantum and conventional computing solutions for smart healthcare. In this study, we analyzed the application possibilities, challenges, and opportunities of introducing hybrid technologies to improve various healthcare operations. As mentioned above, the use of quantum approaches might facilitate substantial changes within the industry and provide many opportunities; however, their feasibility will depend on whether the solutions become practical.
Quantum computing seems to be an exciting topic to discuss as a technology that might facilitate substantial shifts in the industry and contribute to the improvement of the healthcare sector. While quantum technology might be useful in resolving many significant challenges in the future, it does not have any value in practical applications as long as it fails to provide practical, verified, and relevant applications in healthcare. Thus, the purpose of this study is to discuss the application of hybrid approaches that combine quantum and conventional computing solutions for smart healthcare. In this study, we analyzed the application possibilities, challenges, and opportunities of introducing hybrid technologies to improve various healthcare operations. As mentioned above, the use of quantum approaches might facilitate substantial changes within the industry and provide many opportunities; however, their feasibility will depend on whether the solutions become practical.
The use of quantum computing1 in healthcare represents a significant shift with the potential to revolutionize medical research, diagnostics, and treatment. Quantum computing can process and analyze large datasets much faster than classical computing, offering new opportunities in healthcare. This paper examines the various ways quantum computing can be applied in healthcare, such as in drug discovery, genetic research, personalized medicine, and complex disease modeling. By using quantum algorithms, researchers can identify new treatment targets and simulate the effects of drugs on human biology in ways that were previously impossible, which can reduce the time and cost of bringing new drugs to market. Quantum computing also allows for analyzing large genomic datasets2, which can help tailor treatments to individual genetic profiles. Additionally, this technology helps in modeling complex biological systems and disease processes, providing insights into the mechanisms of diseases at a molecular level and enabling the development of more effective treatments. However, integrating quantum computing into healthcare comes with challenges such as technical limitations, the need for specialized expertise, data security concerns, and ethical considerations. This paper provides a comprehensive overview of the potential applications of quantum computing in healthcare, addresses the associated challenges, and discusses the future directions of this growing field, emphasizing the importance of interdisciplinary collaboration in fully utilizing quantum technologies in medicine. In recent years, quantum computing has rapidly advanced and attracted significant interest from academia and industry due to its unique ability to process information differently, resulting in previously unattainable computational capabilities. Despite its potential, the full impact of quantum computing on healthcare has not been thoroughly explored. This survey paper provides a systematic analysis of quantum computing's various capabilities in improving healthcare systems, focusing on its potential to transform compute-intensive healthcare tasks such as drug discovery, personalized medicine, DNA sequencing4, medical imaging5, and operational optimization. Through a comprehensive review of existing literature, we have developed taxonomies6 covering different aspects, including background and enabling technologies, applications, requirements, architectures, security, open issues, and future research directions, offering a comprehensive view of the quantum computing paradigm for healthcare. Our survey aims to assist new and experienced researchers in quantum computing and healthcare by helping them comprehend the current research landscape, identify potential opportunities and challenges, and make informed decisions when developing new architectures and applications for quantum computing in healthcare
The healthcare sector is undergoing a significant transformation driven by advances in Artificial Intelligence, Big Data Analytics, Internet of Medical Things, Cloud Computing, and Digital Health technologies. While these technologies have enabled intelligent healthcare services, the increasing complexity, volume, and heterogeneity of healthcare data pose substantial computational challenges for conventional systems. To address these limitations, Quantum Computing, has emerged as a promising solution. This chapter presents a comprehensive review of the integration of quantum computing and intelligent technologies in smart healthcare systems. It examines the fundamental concepts of quantum computing and explores their applicability in healthcare environments. It also discusses quantum machine learning models for diagnostic support and personalized healthcare. It further investigates emerging applications including drug discovery, genomic analysis and medical image reconstruction. Finally, the challenges, implementation barriers, and future directions are also presented.
Quantum computing holds immense potential to revolutionize healthcare by enhancing diagnostic accuracy, Enhancing the effectiveness of medical treatments and optimizing healthcare data management through its distinctive computational capabilities enable the processing of complex datasets far beyond the reach of classical computers, offering groundbreaking advancements in various medical fields. This research topic explores the application of quantum computing in various aspects of healthcare, emphasizing how technology may improve data processing, diagnosis, and treatment planning. Quantum algorithms can accelerate the analysis of genomic data, improve medical imaging techniques, and optimize treatment strategies, paving the way for personalized and more effective healthcare interventions. Despite the bright future, there are still technological, moral, and legal issues that need to be resolved before quantum computing may be used in healthcare. The stability and scalability of quantum hardware, along with concerns about data security and patient privacy, present significant hurdles to widespread adoption. To fully realize the revolutionary potential of quantum computing in healthcare, these issues must be resolved via further study and teamwork.
Quantum computing is a revolutionary method of information processing.Utilizing the concepts of quantum mechanics to tackle complicated problems at previously unheard-of rates. In the healthcare sector, advancements in quantum computing are poised to revolutionize various applications, including drug discovery, personalized medicine, and medical imaging. This paper explores the current state of quantum computing technologies and their potential implications for healthcare and discuss how quantum algorithms can enhance data analysis, optimize treatment plans, and facilitate the simulation of molecular interactions, leading to more effective therapies. Furthermore, we examine the challenges and ethical considerations associated with integrating quantum computing into healthcare systems. The findings suggest that while still in its infancy, quantum computing holds significant promise for improving patient outcomes and streamlining healthcare processes.
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.
The use of smart technologies such as Quantum Computing has become a transforming weapon in medical and bio medical applications. Quantum computing has proved itself useful in healthcare due to its transformatory and revolutionary ability. Quantum computing offers assurances to create new possibilities for faster, more agile, and mysterious efficiency improvements to all industries, and healthcare is no exception. The healthcare sector needs unprecedented speeds with the aid of quantum technology. Quantum computing will be yet another tool that can be employed to find solutions to diseases like Parkinson, cancer, and other ailments that affect so many lives every day. When we arrive at the more useful stage of quantum computing, one is quite certain that its utilization will be enabling the computers’ ability to lead processes as well as analyze and offer remedies at super speed. Slow and extremely expensive trial procedures are a curse to the pharmaceutical and healthcare companies, affecting the development of new drugs and rollout of implementation timelines. Quantum computing has a lot of uses in healthcare because electronic medical records and ICT-based tools create so much of medical data. There are several reasons why health records need virtual environments where professionals will be able to analyze variables like body fluids, circulation, electrolytes, hormones, metabolism, and skin temperature.