Advancements and Applications of Quantum Computing in Robotics

A. Haldorai
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Abstract

Quantum computing is an advanced computing area that utilizes the principles of quantum mechanics to do certain operations at much faster rates compared to traditional computers. Quantum bits, or qubits, have the ability to exist in multiple states simultaneously, unlike traditional bits, which have a state of 0 or 1. This unique property was created by a process known as superposition. This article reviews the various quantum computing applications within the field of robotics. It further discusses the principles of quantum computing such as superposition and qubits, and puts more focus on exponential processing capacity of it. Various quantum algorithms are reviewed in comparison to traditional methods used on completing machine learning tasks and handling robotics. In addition, this paper reviews potential applications of quantum computing within the field of artificial intelligence, data mining, and image process. Lastly, the paper highlights the necessity of effectively integrating robotics with quantum computing, considering application-based protocols, scale-up capacity, and hardware-free algorithms.
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量子计算在机器人学中的发展与应用
量子计算是一个先进的计算领域,它利用量子力学原理以比传统计算机快得多的速度完成某些操作。量子比特(或称量子比特)能够同时以多种状态存在,这与只有 0 或 1 状态的传统比特不同。这种独特的特性是通过一个称为叠加的过程产生的。本文回顾了机器人领域的各种量子计算应用。文章进一步讨论了量子计算的原理,如叠加和量子比特,并重点介绍了量子计算的指数处理能力。与完成机器学习任务和处理机器人技术的传统方法相比,本文回顾了各种量子算法。此外,本文还回顾了量子计算在人工智能、数据挖掘和图像处理领域的潜在应用。最后,本文强调了将机器人技术与量子计算有效结合的必要性,同时考虑了基于应用的协议、扩展能力和无硬件算法。
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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