3 papers
quant-ph2025
Optimizer-Dependent Generalization Bound for Quantum Neural Networks
Chenghong Zhu, Hongshun Yao, Yingjian Liu +1
Quantum neural networks (QNNs) play a pivotal role in addressing complex tasks within quantum machine learning, analogous to classical neural networks in deep learning. Ensuring co…
quant-ph2024
Sample-Efficient Estimation of Nonlinear Quantum State Functions
Hongshun Yao, Yingjian Liu, Tengxiang Lin +1
Efficient estimation of nonlinear functions of quantum states is crucial for various key tasks in quantum computing, such as entanglement spectroscopy, fidelity estimation, and fea…
quant-ph2024
Hypothesis testing of symmetry in quantum dynamics
Yu-Ao Chen, Chenghong Zhu, Keming He +2
Symmetry plays a crucial role in quantum physics, dictating the behavior and dynamics of physical systems. In this paper, we develop a hypothesis-testing framework for quantum dyna…