3 papers
quant-ph2025
Predicting symmetries of quantum dynamics with optimal samples
Masahito Hayashi, Yu-Ao Chen, Chenghong Zhu +1
Identifying symmetries in quantum dynamics, such as identity or time-reversal invariance, is a crucial challenge with profound implications for quantum technologies. We introduce a…
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
Quantum Entanglement Allocation through a Central Hub
Yu-Ao Chen, Xia Liu, Chenghong Zhu +3
Establishing a fully functional quantum internet relies on the efficient allocation of multipartite entangled states, which enables advanced quantum communication protocols, secure…