Quantum Machine Learning: Recent Advances and Outlook
Quantum Machine Learning: Recent Advances and Outlook
复制标题
量子机器学习：最新进展与展望
DOI：
10.1109/mwc.001.1900341
复制
发表时间：
2020-06-01
影响因子：
12.9
通讯作者：
Mao, Shiwen
中科院分区：
文献类型：
--
作者：
O'Quinn, Wesley;Mao, Shiwen
量子计算目前处于物理学和工程学的结合点。尽管当前一代的量子处理器很小，而且噪音很大，但进步的速度令人震惊。此外，机器学习在最近的许多进展中发挥了关键作用。这两个领域的结合，量子机器学习，是一个小但非常有前途的新领域，有可能拥有无限的能力。这项工作试图提供一个对这个新兴领域的介绍，以及对最近的进展以及尚未解决的问题的讨论。
Quantum computing is currently at the nexus of physics and engineering. Although current generation quantum processors are small and noisy, advancements are happening at an astounding rate. In addition, machine learning has played a crucial role in many recent advances. The combination of these two fields, Quantum Machine Learning, is a small but extremely promising new field with the possibility of unlimited abilities. This work seeks to provide an introduction to this emerging field, along with a discussion of recent advances as well as problems that are yet to be solved.