I’m delighted to share two recent research works.

arXiv:2405.20712
Our quantum simulation algorithm for open quantum systems has been accepted by Quantum. The study of open quantum systems is an active research area in recent quantum algorithm development. The algorithm we proposed successfully demonstrated the short-time dynamics of the dissipative XY model and investigated the influence of dissipation on many-body localization in the disordered Heisenberg model, representing a new advantage of quantum computing in many-body physics applications. This work was completed in collaboration with Prof. Gong Ming from Lab QCQI, USTC, with Dr. Liu Huanyu from Lab QCQI, USTC as the first author.

arXiv:2505.16714
In collaboration with Prof. Guan Ji from the Institute of Software, Chinese Academy of Sciences (CAS), we experimentally and systematically investigated the robustness problem of quantum neural networks. On the Origin "Wukong" quantum computer, we performed training, adversarial attacks, adversarial learning, and robustness evaluation of a 20-qubit QNN (Quantum Neural Network) using both classical and quantum datasets, successfully quantifying the robustness of large-scale quantum neural networks. This work reveals the inherent robustness advantages of quantum neural networks, as well as the mechanism by which adversarial learning enhances robustness. Furthermore, it experimentally verified the tightness of theoretical fidelity-based robustness bounds.