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WJPR Citation
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| All | Since 2020 | |
| Citation | 8502 | 4519 |
| h-index | 30 | 23 |
| i10-index | 227 | 96 |
MATHEMATICAL AND PHYSICAL FOUNDATIONS OF QUANTUM AI IN HEALTHCARE: ADVANCING COMPUTATIONAL PARADIGMS FOR PRECISION MEDICINE AND BIOMEDICAL INNOVATIONS
Dr. Ranjana* and Ashutosh Prakash
. Abstract Quantum artificial intelligence (QAI) is poised to revolutionize healthcare by integrating principles of quantum mechanics and machine learning to solve complex biomedical challenges. This paper explores the mathematical and physical foundations of QAI in healthcare, discussing quantum algorithms, entanglement, superposition, and quantum-enhanced neural networks. We further analyzed the role of quantum computing in medical imaging, drug discovery, genomics, and secure healthcare data management. By leveraging advanced computational paradigms, quantum AI holds the potential to unlock unprecedented efficiencies in precision medicine (Preskill, 2018; Schuld et al., 2014). Keywords: . [Full Text Article] [Download Certificate] |
