Quantum Computing in Healthcare - Unlocking New Frontiers in Drug Discovery and Data Management

The advent of quantum computing stands to revolutionize the healthcare landscape, including groundbreaking solutions to its biggest challenges. Drastic advancements in AI processing and analysis of data, far more than classical computing capabilities, open possibilities for AI to revolutionize drug discovery, genomics, patient data, etc. Quantum computing speeds up the search for potential drug candidates by simulating molecular interactions at unprecedented rates, which leads to accelerated graphing of other potential candidates and subsequently saving time and money on drugs. Moreover, it enables the optimization of healthcare data systems to ensure interoperability and secure, efficient management of patient records all in all a pressing requirement in the age of big data. The paper explores the sphere of quantum computing and its prospective applications in healthcare, particularly focusing on drug discovery and data management. It delves into how quantum algorithms like variational quantum eigensolvers (VQE) and quantum machine learning models tackle unique challenges in simulating biological systems and managing sensitive data. Using specific examples and case studies, the paper demonstrates the potential of quantum computing to revolutionize fields like protein folding, personalized medicine, and real-time patient monitoring. The opportunities are vast, but also so too are the challenges with bringing quantum computing into healthcare, with high costs, limited access to quantum hardware and the need for specialized expertise. This is further compounded by ethical considerations such as data privacy and equitable access to quantum-powered solutions. Navigating these challenges, however, the intersection of quantum computing and the healthcare industry presents a groundbreaking paradigm shift, one that could accelerate medical breakthroughs with heightened precision and efficiency at a fraction of the cost. To encourage and inspire further interest and collaborations within this highly active field, this paper will serve to outline the current state, opportunity and future of quantum computing within healthcare.

Authors

Publication Details

Journal
International Journal of Global Innovations and Solutions (IJGIS)
Published
2024-12-30
DOI
https://doi.org/10.21428/e90189c8.e5dab7bb
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.35
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article

Quantum Computing in Healthcare - Unlocking New Frontiers in Drug Discovery and Data Management

Nandhakumar Raju, Fardin Quazi, Prashant Kondle
1 citations
International Journal of Global Innovations and Solutions (IJGIS)
Quantum Computing Algorithms and Architecture
0.35
article

Quantum Computing in Healthcare - Unlocking New Frontiers in Drug Discovery and Data Management

Nandhakumar Raju, Fardin Quazi, Prashant Kondle
article en
1 citations

Abstract

The advent of quantum computing stands to revolutionize the healthcare landscape, including groundbreaking solutions to its biggest challenges. Drastic advancements in AI processing and analysis of data, far more than classical computing capabilities, open possibilities for AI to revolutionize drug discovery, genomics, patient data, etc. Quantum computing speeds up the search for potential drug candidates by simulating molecular interactions at unprecedented rates, which leads to accelerated graphing of other potential candidates and subsequently saving time and money on drugs. Moreover, it enables the optimization of healthcare data systems to ensure interoperability and secure, efficient management of patient records all in all a pressing requirement in the age of big data. The paper explores the sphere of quantum computing and its prospective applications in healthcare, particularly focusing on drug discovery and data management. It delves into how quantum algorithms like variational quantum eigensolvers (VQE) and quantum machine learning models tackle unique challenges in simulating biological systems and managing sensitive data. Using specific examples and case studies, the paper demonstrates the potential of quantum computing to revolutionize fields like protein folding, personalized medicine, and real-time patient monitoring. The opportunities are vast, but also so too are the challenges with bringing quantum computing into healthcare, with high costs, limited access to quantum hardware and the need for specialized expertise. This is further compounded by ethical considerations such as data privacy and equitable access to quantum-powered solutions. Navigating these challenges, however, the intersection of quantum computing and the healthcare industry presents a groundbreaking paradigm shift, one that could accelerate medical breakthroughs with heightened precision and efficiency at a fraction of the cost. To encourage and inspire further interest and collaborations within this highly active field, this paper will serve to outline the current state, opportunity and future of quantum computing within healthcare.

International Journal of Global Innovations and Solutions (IJGIS)
Openalex Percentile: Top 30%
Quantum Computing Algorithms and Architecture
0.35
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Quantum Computing in Healthcare - Unlocking New Frontiers in Drug Discovery and Data Management — Nandhakumar Raju, Fardin Quazi, et al. · International Journal of Global Innovations and Solutions (IJGIS) (2024) | TGRS Research Map | TGRS