4 papers
A universal compression theory for lottery ticket hypothesis and neural scaling laws
Hong-Yi Wang, Di Luo, Tomaso Poggio +2
When training large-scale models, the performance typically scales with the number of parameters and the dataset size according to a slow power law. A fundamental theoretical and p…
Measuring unconventional causal structures in monitored dynamics
Hong-Yi Wang, Haifeng Tang, Xiao-Liang Qi
Causality underpins all logical reasoning. However, the causal structure in quantum processes can be far from intuitive, often differing from its classical counterpart in relativit…
Revisiting p-B Fusion: Updated Cross-sections, Reactivity, and Energy Balance
Hong-Yi Wang, Yu-Qi Li, Qian Wu +1
Recent experimental progress has substantially improved the available cross-section data for the p-B fusion reaction, particularly in energy regions that previously lacked d…
Relieving the post-selection problem by quantum singular value transformation
Hong-Yi Wang
Quantum measurement is a fundamental yet experimentally challenging ingredient of quantum information processing. Many recent studies on quantum dynamics focus on expectation value…