In this paper the development of quantum neural networks (QNN), and some of presented models and physical implementation are reviewed. How of making use of double-slit experiment for implementing QNN and methods of designing as well as examples of two-layer hybrid networks in QNN constructed from quantum neurons and classical neurons are represented. Some application models of the networks (QNN) is compared with classical models and capabilities of QNN together with the quantum mechanical concepts in solving difficult problems, which is hard to solve by classical models, is noted.
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