面向位置跟踪和空间系统的量子计算

A. Shokry, M. Youssef
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引用次数: 7

摘要

量子计算为解决问题提供了一种新的方法,能够有效地解决经典计算机难以解决的问题。随着世界各地的研究人员展示量子霸权和基于云的量子计算机的可用性,量子计算正在成为现实。在本文中,我们探讨了将量子计算用于位置跟踪和空间系统的不同方向。具体而言,我们通过提供射频指纹定位的高效量子算法,展示了使用量子计算进行定位的预期增益的示例。所提出的量子算法在空间和运行时间上的复杂度都比经典算法有指数级的提高。我们进一步讨论了软件和硬件研究的挑战和机遇,研究人员可以在此基础上探索这个令人兴奋的新领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Quantum Computing for Location Tracking and Spatial Systems
Quantum computing provides a new way for approaching problem solving, enabling efficient solutions for problems that are hard on classical computers. With researchers around the world showing quantum supremacy and the availability of cloud-based quantum computers, quantum computing is becoming a reality. In this paper, we explore the different directions of the use of quantum computing for location tracking and spatial systems. Specifically, we show an example for the expected gain of using quantum computing for localization by providing an efficient quantum algorithm for RF fingerprinting localization. The proposed quantum algorithm has a complexity that is exponentially better than its classical algorithm version, both in space and running time. We further discuss both software and hardware research challenges and opportunities that researchers can build on to explore this exciting new domain.
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