张蕊，女，1994.10，博士

电子邮箱：zhangrui122@haut.edu.cn

研究方向：量子机器学习，隐私保护，量子计算；

教育经历：

2013.09-2017.06，安阳师范学院，数学与应用数学专业，学士；

2017.09-2020.06，河南大学，数学专业，硕士；

2020.09-2025.06，北京交通大学，网络空间安全专业，博士；

主持及参与科研项目：

共轭梯度法量子支持向量机研究 (主持)

城市智能系统可信任机理与关键技术 (参与)

量子图像理解中低层图像特征的表示和提取 (参与)

代表性教科研学术成果：

论文：

[1] Zhang Rui, Wang Jian, Jiang Nan, Armanuzzaman Md, Zhao Ziming. Efficient and Secure Multi-qubit Broadcast-based Quantum Federated Learning, IEEE Transactions on Information Forensics and Security. 2025，20：6778-6793.

[2] Zhang Rui, Wang Jian, Jiang Nan, Wang Zichen. Quantum support vector machine without iteration. Information Sciences, 2023, 635: 25-41.

[3] Zhang Rui, Wang Jian, Jiang Nan, Li Hong, Wang Zichen. Quantum support vector machine based on regularized Newton method. Neural Networks, 2022, 151: 376-384.

[4] Zhang Rui, Wang Jian, Jiang Nan. Boundary extension methods to quantum signal mean filtering. Quantum Information Processing, 2022, 21: 53.

[5] Zhang Rui, Xu Meiyu, Lu Dayong. A generalized floating-point quantum representation of 2-D data and their applications. Quantum Information Processing, 2020, 19: 390.

[6] Zhang Rui, Lu Dayong, Yin Haiting. A Generalized Floating-Point Representation and Manipulation of Quantum Signals Based on IEEE-754. International Journal of Theoretical Physics, 2020, 59: 936-952.

[7] 王健, 张蕊, 姜楠. 量子机器学习综述. 软件学报, 2024, 35(8): 3843-3877.

[8] 张蕊, 王健, 姜楠, 王子臣. 量子内积及其模的计算方法综述. 北京工业大学学报, 2023, 49(6): 703-716.

[9] Li Hong, Jiang Nan, Zhang Rui, Wang Zichen, Wang Hailiang. Quantum support vector machine based on gradient descent. International Journal of Theoretical Physics, 2022, 151: 376-384.

[10] Yin Haiting, Lu Dayong, Zhang Rui. Quantum Windowed Fourier Transform and its Application to Quantum Signal Processing. International Journal of Theoretical Physics, 2021, 60(10): 3896-3918.

书籍：

姜楠, 王健, 张蕊. 量子机器学习-基于Python的理论和实现. 清华大学出版社. 2024.