2026-present

Postdoctoral Fellow

GitHub: ZhenLiu-Geophysics

Email: liuzhen95@ustc.edu.cn

Ph.D.: Geological Resources & Geological Engineering, China University of Petroleum (East China), 2020-2026.

Master: Geophysics, China University of Petroleum (East China), 2018-2020.

Undergraduate: Exploration Technology and Engineering, Southwest Petroleum University, 2013-2018.

Research: Quantum computing, quantum machine learning, seismic inversion, geological body identification, and deployment, execution, and optimization on real quantum hardware.

Bio: 刘震，2026年6月获得地质资源与地质工程博士学位，现为中国科学技术大学地球和空间科学学院伍新明教授课题组博士后研究员。主要致力于量子计算、人工智能与地球物理的交叉研究，重点开展量子机器学习、量子—经典混合计算与物理信息人工智能研究，面向复杂地质条件下基于量子计算与人工智能融合的高精度、多参数地震反演，溶洞、断层与储层等地质体识别以及地震数据处理等地球物理问题，开展量子算法在真实量子计算机上的部署、执行与运行优化方法，推动量子计算与人工智能融合技术由数值仿真向量子真机地球物理应用拓展。

Publications

7. Z. Liu, A. Bărbulescu. 2026. An Enhanced Quantum Reservoir Computing Framework for Hydrological Time Series Modeling. Stochastic Environmental Research and Risk Assessment, accepted.

6. Z. Liu, J. Zhang, Y. Chen, D. Feng, and L. Qi. 2026. Application of CNN-BiLSTM-PINN Network Integrating Physical and Numerical Constraints in AVO LMR Inversion. Interpretation, vol. 14, no. 1, pp. T11-T34, doi: 10.1190/int-2025-0020.

5. Z. Liu, A. Bărbulescu. 2026. Exploring the Quantum Variational Support Vector Regression for Forecasting the River Water Discharge: A Case Study. Romanian Journal of Physics, vol. 71, no. 5-6, Art no. 803.

4. Z. Liu, J. Zhang, Y. Chen, D. Feng, and L. Qi. 2025. From Physics Constraints to Trustworthy Bayesian Reasoning: Synergies of PINN, iPINN, and iBPINN in Prestack AVO Inversion. IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-24, Art no. 5926424, doi: 10.1109/TGRS.2025.3636416.

3. Z. Liu, A. Bărbulescu. 2025. Variational Quantum Regression Application in Modeling Monthly River Discharge. Water, vol. 17, no. 12, Art no. 1836, doi: 10.3390/w17121836.

2. Z. Liu, A. Bărbulescu. 2025. Quantum Neural Networks Approach for Water Discharge Forecast. Applied Sciences, vol. 15, no. 8, Art no. 4119, doi: 10.3390/app15084119.

1. Z. Liu, J. Zhang. 2025. Application of Quantum Neural Networks and Variational Quantum Regression in Seismic Inversion. IMAGE 2025 Conference, Houston, USA. [PDF].

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