Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT 06520, United States.
Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, United States.
J Am Med Inform Assoc. 2024 Aug 1;31(8):1774-1784. doi: 10.1093/jamia/ocae149.
To introduce quantum computing technologies as a tool for biomedical research and highlight future applications within healthcare, focusing on its capabilities, benefits, and limitations.
Investigators seeking to explore quantum computing and create quantum-based applications for healthcare and biomedical research.
Quantum computing requires specialized hardware, known as quantum processing units, that use quantum bits (qubits) instead of classical bits to perform computations. This article will cover (1) proposed applications where quantum computing offers advantages to classical computing in biomedicine; (2) an introduction to how quantum computers operate, tailored for biomedical researchers; (3) recent progress that has expanded access to quantum computing; and (4) challenges, opportunities, and proposed solutions to integrate quantum computing in biomedical applications.
介绍量子计算技术作为生物医学研究的工具，并强调其在医疗保健领域的未来应用，重点介绍其功能、优势和局限性。
探索量子计算并为医疗保健和生物医学研究创建基于量子的应用的研究人员。
量子计算需要专门的硬件，称为量子处理单元，它使用量子位（qubit）而不是经典位来进行计算。本文将涵盖（1）量子计算在生物医学中提供优于经典计算的优势的应用；（2）针对生物医学研究人员介绍量子计算机的工作原理；（3）最近的进展扩大了对量子计算的访问；以及（4）在生物医学应用中集成量子计算面临的挑战、机遇和建议解决方案。
