A Comprehensive Survey on Quantum Machine Learning and Possible Applications

Muhammad Umer, Muhammad Imran Sharif
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引用次数: 3

Abstract

Machine learning is a branch of artificial intelligence that is being used at a large scale to solve science, engineering, and medical tasks. Quantum computing is an emerging technology that has a very high computational ability to solve complex problems. Classical machine learning with traditional systems has some limitations for problem-solving due to a large amount of data availability. Quantum machine learning has high performance and computational ability that can effectively be used to solve computation tasks. This study reviews the latest articles in quantum computing and quantum machine learning. Building blocks of quantum computing and different flavors of quantum algorithms are also discussed. The latest work in quantum neural networks is also presented. In the end, different possible applications of quantum computing are also discussed.
量子机器学习及其应用综述
机器学习是人工智能的一个分支,被大规模用于解决科学、工程和医疗任务。量子计算是一项新兴技术,它具有非常高的计算能力来解决复杂的问题。由于大量的数据可用性,传统系统的经典机器学习在解决问题方面存在一些局限性。量子机器学习具有高性能和计算能力,可以有效地用于解决计算任务。本研究回顾了量子计算和量子机器学习领域的最新文章。还讨论了量子计算的构建模块和不同风格的量子算法。介绍了量子神经网络的最新研究进展。最后,还讨论了量子计算的各种可能应用。
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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