We present a quantum BP neural network with the universality of single-qubit rotation gate and two-qubit Controlled-NOT gate. Also, we show the process of the BP learning algorithm for the quantum model, and propose an improved BP learning algorithm based on quantum genetic algorithm. The type recognition simulation of the Matlab program shows the efficiencies of the quantum neural network and the improved learning algorithm.

中文翻译：

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具有改进量子学习算法的量子神经网络

我们提出了一个具有单量子位旋转门和双量子位受控非门的通用性的量子 BP 神经网络。此外，我们展示了量子模型的BP学习算法的过程，并提出了一种基于量子遗传算法的改进的BP学习算法。Matlab程序的类型识别仿真显示了量子神经网络和改进学习算法的效率。