量子神经网络：概念、应用与挑战
Quantum Neural Networks: Concepts, Applications, and Challenges
摘要：
量子深度学习是使用量子计算技术来训练深度神经网络的研究领域。深度学习和量子计算的研究主题和方向长期以来一直是分离的，但随着量子线路可以像人工神经网络一样工作的发现，量子深度学习研究被广泛采用。本文介绍了量子深度学习的背景和基本原理，并介绍了主要成果。在此之后，本文从多个角度讨论了量子深度学习研究面临的挑战。最后，本文提出了量子深度学习的各种未来研究方向和应用领域。
英文摘要：
Quantum deep learning is a research field for the use of quantum computing techniques for training deep neural networks. The research topics and directions of deep learning and quantum computing have been separated for long time, however by discovering that quantum circuits can act like artificial neural networks, quantum deep learning research is widely adopted. This paper explains the backgrounds and basic principles of quantum deep learning and also introduces major achievements. After that, this paper discusses the challenges of quantum deep learning research in multiple perspectives. Lastly, this paper presents various future research directions and application fields of quantum deep learning.
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。
