个人简介：

张士坤（1992-），山东德州人。2016年6月毕业于鲁东大学，获工学学士学位。2020年7月毕业于北京理工大学，获理学硕士学位。2025年6月毕业于北京航空航天大学，获电子信息专业博士学位。于2025年8月加入河南大学未来技术学院（量子信息），担任预聘助理教授。主要从事量子计算、量子人工智能方向的研究，在Physical Review A, New Journal of Physics等国际期刊发表论文。

代表性论文：

[1] Zhang SK, Qin Z, Zhou Y, et al. Single entanglement connection architecture between multi-layer bipartite hardware efficient ansatz. New J. Phys., 2024, 26(7): 073042.

[2] Zhang SK, Zhou Y, Qin Z, et al. Machine-Learning Insights into the Entanglement-trainability Correlation of Parameterized Quantum Circuits. Phys. Rev. A, 2025, 111(5): 052403.

[3] Zhang SK, Bian L, Zhang YY. High-accuracy inverse optical design by combining machine learning and knowledge-depended optimization. J. Opt., 2020, 22(10): 105802.

[4] Li R, Zhang SK, Qin Z, et al. High-dimentional Multipartite Entanglement Structure Detection with Low Cost. Phys. Rev. Applied, 2025, 23(4): 044033.

[5] Qin Z, Li X, Zhou Y, Zhang SK, et al. Applicability of measurement-based quantum computation towards physically-driven variational quantum eigensolver. New J. Phys., 2024, 26(7): 073040.

[6] Qin Z, Li X, Zhou Y, Zhang SK, et al. Emerging applications of measurement-based quantum computing. Quantum Inf. Process., 2024, 23(12): 389.

[7] Li R, Du J L, Qin Z, Zhang SK, et al. Entanglement structure detection via computer vision. Phys. Rev. A, 2024, 110(1): 012448.