量子计算与人工智能:协同作用与挑战

Jeff Shuford
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引用次数: 0

摘要

由于量子计算的爆炸性崛起,近几十年来,量子光学领域的商业和学术竞争十分激烈。目前发明的量子计算的整体可扩展性已经超过了许多数量级,而无处不在的量子计算机可以支持多达数百个量子比特或数千个量子比特。强机器仍在继续研发。因此,民族性成为大量研究和报告的灵感来源。这篇文章从机器学习的角度,为每一个真正想了解更多量子通信和计算思想的人提供了一个介绍。文章从这种教育方法入手,接着介绍了量子计算的重要转折点和最新进展。在这项研究中,虚拟网络的这些基本特征被分为四大挑战,每项挑战都经过了深入研究。A、B、C 和 D 分别代表量子物理、网络、安全和算法。文章最后讨论了主要问题、重要研究领域和最新进展。
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Quantum Computing and Artificial Intelligence: Synergies and Challenges
Due to the explosive rise of quantum computing, there has been intense competition in business and academics in the field of quantum optics in recent decades. The current invention's overall scalability in quantum computing has surpassed many orders of magnitude, whereas ubiquitous quantum computers can support up to hundreds of quantum bits, or thousands of qubits. Strong machines continue to be developed. As a result, ethnicity has served as the inspiration for a huge number of studies and reports. This essay offers an introduction for everyone who would truly like to understand more about the ideas of quant communication and computing from a machine learning standpoint. It starts with such an educational approach and goes on to cover important turning points and the latest advancements in quantum computing. In this research, these fundamental characteristics of such a virtual network are divided into four major challenges, each of which has been thoroughly examined. correspondingly, A, B, C, and D stand for quantum physics, networking, security, and algorithms. The main issues, important areas of research, and most recent advancements are discussed as the article comes to a close.
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