Quantum M-P Neural Network |
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Authors: | Rigui Zhou Qiulin Ding |
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Institution: | (1) Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, 210016, China |
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Abstract: | Quantum Neural Network (QNN) is a young and outlying science built upon the combination of classical neural network and quantum
computing. Making use of quantum linear superposition, this paper presents a quantum M-P neural network based on the analysis
of the conventional M-P neural network. Moreover, the working principle of this proposed network and its corresponding weight
updating algorithm are expatiated in the two cases of input state being in the orthogonal and non-orthogonal basic set, respectively.
In addition, this paper not only validates that this quantum M-P network can realize some network functions, such as “XOR”,
but also verifies the feasibility and validity of its weight learning algorithm by some simple examples. |
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Keywords: | Quantum M-P neural network Weight updating algorithm Quantum state |
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