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Quantum-Enhanced Data Warehousing: Preparing Life Sciences Data Architecture for the Quantum Computing Era
Authors
Ramesh Betha
Abstract
The exponential growth of data in the life sciences sector, driven by advancements in genomics, proteomics, and personalized medicine, has necessitated the development of robust data warehousing solutions. Classical computing paradigms, while effective, face inherent limitations in addressing the scale and complexity of such data. Quantum computing, with its unparalleled computational capabilities, presents a transformative opportunity to redefine data architecture in life sciences. This white paper explores the intersection of quantum computing and data warehousing, outlining a framework for leveraging quantum technologies to enhance data storage, retrieval, and analysis. We discuss the potential benefits, challenges, and roadmap for integrating quantum-enhanced solutions in life sciences data architecture, drawing on existing research and emerging trends.
Keywords
Quantum Computing, data management, data processing, life sciences
Citation
Quantum-Enhanced Data Warehousing: Preparing Life Sciences Data Architecture for the Quantum Computing Era. Ramesh Betha. 2025. IJIRCT, Volume 11, Issue 1. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2502027