10 citations · 26 across the 6 of their papers we have counts for
6 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…
The Model Shape Behind Scaling Laws: A Gradient Superposition Perspective
Wenjie Sun, Jinning Yang, Shuai Zhang +1
Neural scaling laws guide resource allocation, but how should a fixed parameter budget be divided between depth and width? Motivated by inverse-width representation-error scaling u…
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,…
Using k-means assistant event selection strategy to study anomalous quartic gauge couplings at muon colliders
Shuai Zhang, Ji-Chong Yang, Yu-Chen Guo
The search for new physics beyond the Standard Model is one of the central problems of current high energy physics interest. As the luminosities of current and near-future collider…