Quantum Computation in Robotic Science and Applications

Christina Petschnigg, Mathias Brandstötter, Horst Pichler, M. Hofbaur, Bernhard Dieber
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引用次数: 17

Abstract

Using the effects of quantum mechanics for computing challenges has been an often discussed topic for decades. The frequent successes and early products in this area, which we have seen in recent years, indicate that we are currently entering a new era of computing. This paradigm shift will also impact the work of robotic scientists and the applications of robotics. New possibilities as well as new approaches to known problems will enable the creation of even more powerful and intelligent robots that make use of quantum computing cloud services or co-processors. In this position paper, we discuss potential application areas and also point out open research topics in quantum computing for robotics. We go into detail on the impact of quantum computing in artificial intelligence and machine learning, sensing and perception, kinematics as well as system diagnosis. For each topic we point out where quantum computing could be applied based on results from current research.
量子计算在机器人科学与应用中的应用
几十年来,利用量子力学的影响来解决计算挑战一直是一个经常讨论的话题。近年来,我们在这一领域看到的频繁成功和早期产品表明,我们正在进入一个新的计算时代。这种模式的转变也将影响机器人科学家的工作和机器人技术的应用。新的可能性以及解决已知问题的新方法将使创造更强大、更智能的机器人成为可能,这些机器人利用量子计算云服务或协处理器。在这份意见书中,我们讨论了量子计算在机器人领域的潜在应用领域,并指出了开放的研究课题。我们将详细介绍量子计算在人工智能和机器学习、传感和感知、运动学以及系统诊断方面的影响。对于每个主题,我们都指出了基于当前研究结果的量子计算可以应用的地方。
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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