从量子计算到量子神经网络的飞跃：综述
A Leap among Quantum Computing and Quantum Neural Networks: A Survey
摘要：
近年来，量子计算在可用资源和算法开发方面取得了巨大的进步。利用量子现象来解决计算问题的能力是一个长期的梦想，自80年代末以来一直引起科学界的兴趣。在这种情况下，我们提出我们的贡献。首先，我们介绍与量子计算相关的基本概念，然后我们解释实现门模型和绝热量子计算范例的技术的核心功能。最后，我们收集，比较和分析了当前最先进的量子感知器和量子神经网络实现。
英文摘要：
In recent years, Quantum Computing witnessed massive improvements in terms of available resources and algorithms development. The ability to harness quantum phenomena to solve computational problems is a long-standing dream that has drawn the scientific community's interest since the late 80s. In such a context, we propose our contribution. First, we introduce basic concepts related to quantum computations, and then we explain the core functionalities of technologies that implement the Gate Model and Adiabatic Quantum Computing paradigms. Finally, we gather, compare and analyze the current state-of-the-art concerning Quantum Perceptrons and Quantum Neural Networks implementations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
