Quantum Computing in the Biomedical Sciences; A Brief Introduction into Concepts and Applications

Casper van der Kerk, Attila Csala, A. Zwinderman
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Abstract

Quantum computing is a field that aims to exploit the principles of superposition and entanglement to perform computations. By using quantum bits (qubits) a quantum computer is able to perform certain tasks more efficiently when compared to classical computers. While applied quantum computing is still in its early stages, quantum algorithms on simulated quantum computers have already been applied to certain problems in epidemics modeling and image processing. Furthermore, companies like Google and IBM continue to develop new quantum computers with an increasing number of qubits. While much progress has been made in the recent years, the so called ”quantum supremacy”has not yet been achieved, and quantum computing appears to be still unsuitable for most applications in biomedical sciences.
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量子计算在生物医学中的应用概念及应用简介
量子计算是一个旨在利用叠加和纠缠原理来进行计算的领域。通过使用量子比特(量子位),量子计算机能够比经典计算机更有效地执行某些任务。虽然应用量子计算仍处于早期阶段,但模拟量子计算机上的量子算法已经应用于流行病建模和图像处理中的某些问题。此外,谷歌和IBM等公司继续开发具有越来越多量子比特的新型量子计算机。虽然近年来取得了很大进展,但所谓的“量子霸权”尚未实现,量子计算似乎仍然不适合生物医学科学的大多数应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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