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• W3198570521 abstract "The rapid development of quantum computer hardware has laid the hardware foundation for the realization of QNN. Due to quantum properties, QNN shows higher storage capacity and computational efficiency compared to its classical counterparts. This article will review the development of QNN in the past six years from three parts: implementation methods, quantum circuit models, and difficulties faced. Among them, the first part, the implementation method, mainly refers to some underlying algorithms and theoretical frameworks for constructing QNN models, such as VQA. The second part introduces several quantum circuit models of QNN, including QBM, QCVNN and so on. The third part describes some of the main difficult problems currently encountered. In short, this field is still in the exploratory stage, full of magic and practical significance." @default.
• W3198570521 created "2021-09-13" @default.
• W3198570521 creator A5059736823 @default.
• W3198570521 creator A5065919561 @default.
• W3198570521 date "2021-09-04" @default.
• W3198570521 modified "2023-09-27" @default.
• W3198570521 title "A review of Quantum Neural Networks: Methods, Models, Dilemma." @default.
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