The Potential Role of Quantum Computing in Biomedicine and Healthcare: The Next Frontier Beyond Artificial Intelligence
Abstract
Quantum computing is poised to revolutionize biomedicine and healthcare, offering computational advantages that surpass classical and artificial intelligence-based approaches. Its ability to process complex biological data, simulate molecular interactions, and optimize drug discovery presents unprecedented opportunities for personalized medicine and disease modeling. Quantum algorithms can enhance genomic analysis, accelerating diagnostics and therapeutic interventions. Quantum-enhanced machine learning may refine predictive models for patient outcomes and epidemiological trends. Despite its transformative potential, challenges such as hardware limitations, error rates, and algorithm development must be addressed for practical implementation. This editorial explores the emerging role of quantum computing in biomedical research and healthcare, highlighting its capabilities, current advancements, and future implications.
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