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Smart sensors, measurement and instrumentation

Quantum Computing in Healthcare: A New Frontier

Kinjal Gandhi, Dweepna Garg, Milind Shah, Parth Goel, Shilpa Gite

Published Jan 1, 2026• 1 citation
Publisher
DOI
10.1007/978-3-032-05507-1_26

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In an era of exponential technological advancements, the integration of quantum computing (QC) and medical informatics emerges as a captivating frontier, promising to unlock a new realm of possibilities for healthcare. QC, harnessing the principles of quantum mechanics, offers an entirely new approach to computation capable of solving complex problems at an unprecedented scale and speed. Medical informatics, on the other hand, encompasses the application of information technology and data science in healthcare, driving innovations in areas such as diagnostics, drug discovery, genomics, and patient care. At its core, QC challenges the traditional binary paradigm of classical computing, introducing the concept of qubits, which can exist in multiple states simultaneously through the phenomenon of superposition. This unique property, along with the entanglement of qubits, allows quantum computers to explore vast solution spaces simultaneously, offering immense computational power beyond the capabilities of classical counterparts. This potential opens up a new frontier in medical informatics, where complex problems that were previously computationally intractable can now be approached with groundbreaking solutions.
Quantum computing represents a promising frontier in healthcare, offering unparalleled computational power to tackle complex challenges in drug discovery and precision drugs. This paper explores the potential applications and use cases of quantum computing in healthcare. We discuss how quantum algorithms can revolutionize molecular modeling, accelerating the identification of new drug candidates and predicting their interactions with biological targets with unprecedented accuracy. Likewise, we explore how quantum computing can optimize treatment plans in precision medicine by analyzing vast datasets to tailor therapies to individual patient's genetic makeup and medical histories. Additionally, we examine the challenges and opportunities associated with integrating quantum computing into healthcare systems, including considerations around scalability, algorithm development, and data security. By harnessing the transformative capabilities of quantum computing, we envision a future where healthcare delivery is enhanced, personalized, and optimized to improve patient outcomes and advance medical science.