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 colliders continue to increase, the search for new physics has increased the requirements for processing large amounts of data. Meanwhile, quantum computing which is rapidly evolving, has great potential to become a powerful tool to help search for new physics signals. Since the k-means algorithm is known to be able to be accelerated with the help of quantum computing, we investigate and propose an event selection strategy based on k-means algorithm to search for new physics signals. Taking the case of tri-photon processes at the muon colliders as an example, the event selection strategy is shown to be effective in helping to search for the signals of dimension-8 operators contributing to anomalous quartic gauge couplings. Compared with traditional event selection strategy, the expected constraints are generally tighter.
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
Measuring the quartic Higgs self-coupling at a multi-TeV muon collider
测量希格斯玻色子玻色子势的形状至关重要，这将是当前和未来对撞机的一项具有挑战性的任务。虽然三线性希格斯自耦合测量的期望是相当有前途的，四次自耦合相互作用的准确测量目前被认为是极具挑战性的，即使在未来的100 TeV质子-质子对撞机。在这项工作中，我们探索了一个质心能量在几TeV范围内、亮度在10 ^35 cm ^-2 s ^-1量级的μ介子对撞机的灵敏度，正如目前正在讨论的那样，由于产生了相当大的三希格斯玻色子，而且背景有限，所以μ介子对撞机可能提供的灵敏度。通过进行第一次和简单的分析，我们发现一个明确的迹象表明，μ子对撞机可以提供一个确定的四次希格斯自耦合，这是显着优于目前认为在其他未来的对撞机可达到的。
Muon and electron $g-2$ and lepton masses in flavor models
严格的实验约束$μ\rightarrow e γ$是兼容的同时和相当大的新的物理贡献的电子和μ子异常磁矩$(g-2)_\ell$（$\ell=e,\,μ$），只有当我们假设一个非平凡的风味结构的偶极算子系数。我们提出了一种机制，其中实现的$(g-2)_\ell$校正是明显相关的质量生成通过味对称。费米子质量的辐射flavon修正对反常磁矩有贡献。在这个框架中，我们介绍了一个非平凡的$\mathcal{O}(1)$四次耦合的标量势的手征增强。我们表明，μ子和电子异常可以在参数空间的广阔区域中同时解释，预测的矢量状介体质量大至$M_χ\in [0.6,2.5]$ ~TeV。
Electron-muon colliders at high energies to discover heavy sterile neutrinos
Universidad Técnica Federico Santa María（费德里科圣玛丽亚技术大学）；Yonsei University（延世大学）；Chonnam National University（全南国立大学）；Vellore Institute of Technology（维洛尔理工学院）
