Revolutionizing Healthcare Through Quantum Computing: Insights and Future Directions
Keywords:
Machine Learning, Data Mining, Data Analysis, Application DevelopmentAbstract
The multidisciplinary subject of quantum computing has recently grown and attracted a lot of attention from academics and businesses alike because of the novel ways it can handle data, which opens the door to computational capabilities that were previously impossible to achieve. Quantum computing has great promise, but how exactly it will change healthcare is still largely unknown. The potential of quantum computing to transform compute-intensive healthcare tasks like drug discovery, personalized medicine, DNA sequencing, medical imaging, and operational optimization is the primary focus of this survey paper, which offers the first comprehensive analysis of quantum computing's diverse capabilities in improving healthcare systems. To provide a bird's-eye view of the quantum computing paradigm for healthcare, we have created taxonomies across various dimensions based on a thorough literature review. These dimensions include background and enabling technologies, applications, requirements, architectures, security, open issues, and future research directions. To better understand the current state of research, identify opportunities and challenges, and make informed decisions when designing new architectures and applications for quantum computing in healthcare, our survey aims to assist both new and experienced researchers in this field.