122 citations · 330 across the 19 of their papers we have counts for
4 papers · 1 filter
Dropout is all you need: robust two-qubit gate with reinforcement learning
Tian-Niu Xu, Yongcheng Ding, José D. Martín-Guerrero +1
In the realm of quantum control, reinforcement learning, a prominent branch of machine learning, emerges as a competitive candidate for computer-assisted optimal design for experim…
Active Learning in Physics: From 101, to Progress, and Perspective
Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert +1
Active Learning (AL) is a family of machine learning (ML) algorithms that predates the current era of artificial intelligence. Unlike traditional approaches that require labeled sa…
Weak-valued correlation functions: Insights and precise readout strategies
Yuan Feng, Xi Chen, Yongcheng Ding
The correlation function in quantum systems plays a vital role in decoding their properties and gaining insights into physical phenomena. Its interpretation corresponds to the prop…
Superoscillating Quantum Control Induced By Sequential Selections
Yongcheng Ding, Yiming Pan, Xi Chen
Superoscillation is a counterintuitive phenomenon for its mathematical feature of ``faster-than-Fourier", which has allowed novel optical imaging beyond the diffraction limit. In t…