3 papers
quant-ph2025
Dynamical freezing and enhanced magnetometry in an interacting spin ensemble
Ya-Nan Lu, Dong Yuan, Yixuan Ma +10
Understanding and controlling non-equilibrium dynamics in quantum many-body systems is a fundamental challenge in modern physics, with profound implications for advancing quantum t…
quant-ph2025
Solving excited states for long-range interacting trapped ions with neural networks
Yixuan Ma, Chang Liu, Weikang Li +4
The computation of excited states in strongly interacting quantum many-body systems is of fundamental importance. Yet, it is notoriously challenging due to the exponential scaling…
quant-ph2025
Quantum automated learning with provable and explainable trainability
Qi Ye, Shuangyue Geng, Zizhao Han +3
Machine learning is widely believed to be one of the most promising practical applications of quantum computing. Existing quantum machine learning schemes typically employ a quantu…