Quantum circuits design for evaluating transcendental functions based on a function-value binary expansion method. - Shengbin Wang; Zhimin Wang; Wendong Li; Lixin Fan; Guolong Cui; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Process., 2020)

Quantum fast Poisson solver: the algorithm and complete and modular circuit design. - Shengbin Wang; Zhimin Wang; Wendong Li; Lixin Fan; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Process., 2020)

Sharing quantum steering among multiple Alices and Bobs via a two-qubit Werner state. - Xinhong Han; Ya Xiao 004; Huichao Qu; Runhong He; Xuan Fan; Tian Qian; Yongjian Gu (Quantum Inf. Process., 2021)

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)

Accurately quantifying the superposition state of two different Laguerre-Gaussian modes with single intensity distribution measurement. - Ya Xiao 004; Haida Liu; Yuewei Song; Qizhi HanZhao; Fengheng Che; Xuan Fan; Xinhong Han; Huichao Qu; Weichen Li; Wendong Li; Yongjian Gu (Quantum Inf. Process., 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)

Finding new multipartite entangled resources for measurement-based quantum computation. - Wendong Li; Xiaoping Ma; Yuan-Harng Lee; Yaozhong Zhang; Yongjian Gu (Quantum Inf. Process., 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)

SW-CAM: Class Activation Map with Feature Map Selection and Weight Modification. - Shaowei Qu; Rachid Hedjam; Zhimin Wang; Yongjian Gu; Lifan Yao; Haitao Li; Guoqiang Zhong 001 (CVIPPR, 2024)

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)