I am Bingzhi Zhang (张炳志), currently a post-doc at University of Southern California (USC). I obtained my Ph.D. in physics at USC in 2024, supervised by Prof. Quntao Zhuang.
My research interest includes: (1) quantum scrambling dynamics in quantum circuits with mid-circuit measurements, and (2) variational quantum algorithm and quantum machine learning. I am also broadly interested in quantum learning/sensing problems and experimental verification on current-stage quantum devices.
You can learn more about my research by exploring this website or contact me directly!
Email: bingzhiz@usc.edu
Google scholar: Bingzhi Zhang - Google Scholar
Aug 2025 Our work Quantum-data-driven dynamical transition in quantum learning gets published in npj Quantum Information.
Jul 2025 Our work Holographic deep thermalization for secure and efficient quantum random state generation gets published in Nature Communications.
Co-authorship is indicated by *, and corresponding author are indicated by ___.
Holographic deep thermalization for secure and efficient quantum random state generation
Bingzhi Zhang*, Peng Xu*, Xiaohui Chen, Quntao Zhuang
Dynamical transition in controllable quantum neural networks with large depth
Bingzhi Zhang*, Junyu Liu*, Xiao-Chuan Wu, Liang Jiang, Quntao Zhuang
Generative quantum machine learning via denoising diffusion probabilistic models
Bingzhi Zhang*, Peng Xu*, Xiaohui Chen, Quntao Zhuang
Physical Review Letters (2024)
Energy-dependent barren plateau in bosonic variational quantum circuits
Bingzhi Zhang, Quntao Zhuang
Quantum Science and Technology (2024)
Quantum computational phase transition in combinatorial problems
Bingzhi Zhang, Akira Sone, Quntao Zhuang
npj Quantum Information (2022)
I am from Qingdao, a city in Shandong Province of China. Before my Ph.D. career, I graduated from Sun Yat-sen University with a B.Sc in Opto-electronics Information Science and Engineering.