Quantum Artificial Neural Network (QANN) is one of the new paradigms built upon the combination of classical neural and quantum computations. It has great values for theoretic study and potentials to applications. In this paper, an intrinsic similarity of quantum theory and Artificial Neural Network (ANN) theory has been highlighted and analyzed. The dynamic features of QANN are also discussed in details. As an application using dynamic features, a novel model of quantum neuron (QN) is described hereby with a focus on an operation function. Numerical results are illustrated to show that this the proposed QN model can perform a XOR function unrealizable with a classical neuron (CN). The model allows obtain a nonlinear mapping performed by two layers of classical ANN (CANN).