• Corpus ID: 252531308

Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC

@inproceedings{Fadol2022ApplicationOQ,
  title={Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC},
  author={Abdualazem Fadol and Qiyu Sha and Yaquan Fang and Zhanghai Li and Sitian Qian and Yuyang Xiao and Yu Zhang and Chen Zhou},
  year={2022}
}
Machine learning has blossomed in recent decades and has become essential in many fields. It sig- nificantly solved some problems for particle physics—particle reconstruction, event classification, etc. However, it is now time to break the limitation of conventional machine learning with quantum computing. A support-vector machine algorithm with a quantum kernel estimator (QSVM-Kernel) leverages high-dimensional quantum state space to identify a signal from backgrounds. In this study, we have… 

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The International Linear Collider Technical Design Report - Volume 2: Physics

Author(s): Baer, Howard; Barklow, Tim; Fujii, Keisuke; Gao, Yuanning; Hoang, Andre; Kanemura, Shinya; List, Jenny; Logan, Heather E; Nomerotski, Andrei; Perelstein, Maxim; Peskin, Michael E; Poschl,