Fast black-box quantum state preparation based on linear combination of unitaries. - Shengbin Wang; Zhimin Wang; Guolong Cui; Shangshang Shi; Ruimin Shang; Lixin Fan; Wendong Li; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Process., 2021)

Quantum-inspired complex convolutional neural networks. - Shangshang Shi; Zhimin Wang; Guolong Cui; Shengbin Wang; Ruimin Shang; Wendong Li; Zhiqiang Wei 002; Yongjian Gu (Appl. Intell., 2022)

Optimization and noise analysis of the quantum algorithm for solving one-dimensional Poisson equation. - Guolong Cui; Zhimin Wang; Shengbin Wang; Shangshang Shi; Ruimin Shang; Wendong Li; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Comput., 2022)

Hybrid quantum-classical convolutional neural network for phytoplankton classification. - Shangshang Shi; Zhimin Wang; Ruimin Shang; Yanan Li; Jiaxin Li; Guoqiang Zhong 001; Yongjian Gu (CoRR, 2023)

Quantum recurrent neural networks for sequential learning. - Yanan Li; Zhimin Wang; Rongbing Han; Shangshang Shi; Jiaxin Li; Ruimin Shang; Haiyong Zheng; Guoqiang Zhong 001; Yongjian Gu (Neural Networks, 2023)

Quantum convolutional neural networks for multiclass image classification. - Shangshang Shi; Zhimin Wang; Jiaxin Li; Yanan Li; Ruimin Shang; Guoqiang Zhong 001; Yongjian Gu (Quantum Inf. Process., 2024)

Quantum Gated Recurrent Neural Networks. - Yanan Li; Zhimin Wang; Ruipeng Xing; Changheng Shao; Shangshang Shi; Jiaxin Li; Guoqiang Zhong 001; Yongjian Gu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)