5 papers
Expressibility and trainability of a two-dimensional pairwise quantum-circuit ansatz
Shuai Zhang, Wei Liu, Ji-Chong Yang
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods. Existing ansatz desig…
Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization
Wenjie Sun, Jinning Yang, Shuai Zhang +1
The guidance of scaling laws has increased the resource demands of modern large language models (LLMs), yet it remains questionable whether these models utilize resources effective…
A quantum machine learning classifier to search for new physics
Ji-Chong Yang, Shuai Zhang, Chong-Xing Yue
Due to the success of the Standard Model~(SM), it is reasonable to anticipate that the signal of new physics~(NP) beyond the SM is small. Consequently, future searches for NP and p…
Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means
Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang
In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics~(NP) phenomenological resear…
Optimize the event selection strategy to study the anomalous quartic gauge couplings at muon colliders using the support vector machine and quantum support vector machine
Shuai Zhang, Yu-Chen Guo, Ji-Chong Yang
The search of the new physics~(NP) beyond the Standard Model is one of the most important topics in current high energy physics. With the increasing luminosities at the colliders,…