量子神經(jīng)網(wǎng)絡(luò)及其應(yīng)用
Quantum Neural Network and Its Applications
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摘要: 量子計(jì)算與人工神經(jīng)網(wǎng)絡(luò)相結(jié)合的量子神經(jīng)網(wǎng)絡(luò)(Quantum Neural Networks,QNN)有可能成為未來(lái)信息處理的重要手段。分析了人工神經(jīng)網(wǎng)絡(luò)向QNN演變的動(dòng)因及形式、QNN的優(yōu)勢(shì)及可能的物理實(shí)現(xiàn)方法。著重討論了幾種QNN模型的結(jié)構(gòu)、學(xué)習(xí)方法及特性，并闡述了QNN在模式識(shí)別、糾纏計(jì)算、函數(shù)近似等方面的初步應(yīng)用。Abstract: Quantum Neural Networks (QNN) is a promising area which integrates Arti-ficial Neural Netowrk(ANN) with quantum computing. The field of QNN is discussed, in particular, the motivation of ANN towards QNN, the advantages and the possible candi-dates for the implementation of QNN. Several QNN models are introduced in details and their architecture, learning algorithms and some properties are explored. The applications to pattern recognition, computing entanglement and multivariable functions approximation are analyzed.
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