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arXiv · 2409.07010

Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means

Shuai Zhang·Ke-Xin Chen·Ji-Chong Yang
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Abstract

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 research. To improve efficiency, machine learning algorithms have been introduced into the field of high-energy physics. As a machine learning algorithm, kernel k-means has been demonstrated to be useful for searching NP signals. It is well known that the kernel k-means algorithm can be carried out with the help of quantum computing, which suggests that quantum kernel k-means~(QKKM) is also a potential tool for NP phenomenological studies in the future. This paper investigates how to search for NP signals using the k-means anomaly detection event selection strategy with quantum kernels. Taking the $μ^+μ^-\to v\bar{v}γγ$ process at a muon collider as an example, the dimension-8 operators contributing to anomalous quartic gauge couplings~(aQGCs) are studied. The expected coefficient constraints obtained using the QKKM of three different forms of quantum kernels and k-means algorithm are presented, it can be shown that QKKM can help to find the signal of aQGCs.

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Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang. 2025-04-03. Detect anomalous quartic gauge couplings at muon colliders with quantum kernel k-means. https://doi.org/10.1140/epjc%2Fs10052-025-14069-1

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