# 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…

## One Citation

### Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach

- Computer Science, Physics
- 2022

It is concluded that quantum kernels with hybrid kernel methods, a.k.a. quantum Kernel PQCs, offer distinct advantages as a hybrid approach to QML.

## References

SHOWING 1-10 OF 25 REFERENCES

### Precision Higgs physics at the CEPC

- PhysicsChinese Physics C
- 2019

The discovery of the Higgs boson with its mass around 125 GeV by the ATLAS and CMS Collaborations marked the beginning of a new era in high energy physics. The Higgs boson will be the subject of…

### Supervised learning with quantumenhanced feature spaces

- Nature 567
- 2019

### Application of quantum machine learning using the quantum kernel algorithm on high energy physics analysis at the LHC

- Physics, Computer SciencePhysical Review Research
- 2021

It is shown that the QSVM-Kernel method can use the large dimensionality of the quantum Hilbert space to replace the classical feature space in realistic physics datasets.

### Quantum Support Vector Machines for Continuum Suppression in B Meson Decays

- Computer Science, PhysicsComput. Softw. Big Sci.
- 2021

This work investigates the effect of different quantum encoding circuits, the process that transforms classical data into a quantum state, on the final classification performance, and shows an encoding approach that achieves an average Area Under Receiver Operating Characteristic Curve (AUC) of 0.848 determined using quantum circuit simulations.

### Quantum computational advantage using photons

- PhysicsScience
- 2020

Gaussian boson sampling was performed by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix and sampling the output using 100 high-efficiency single-photon detectors, and the obtained samples were validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution.

### Event Classification with Quantum Machine Learning in High-Energy Physics

- Computer Science, PhysicsComput. Softw. Big Sci.
- 2021

Comparison of the performance with standard multi-variate classification techniques based on a boosted-decision tree and a deep neural network using classical computers shows that the quantum algorithm has comparable performance with the standard techniques at the considered ranges of the number of input variables and the size of training samples.

### Quantum supremacy using a programmable superconducting processor

- Physics, Computer ScienceNature
- 2019

Quantum supremacy is demonstrated using a programmable superconducting processor known as Sycamore, taking approximately 200 seconds to sample one instance of a quantum circuit a million times, which would take a state-of-the-art supercomputer around ten thousand years to compute.

### The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction

- Computer Science
- 1974

It is shown that data augmentation provides a rather general formulation for the study of biased prediction techniques using multiple linear regression and a way to obtain predictors given a credible criterion of good prediction is proposed.

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

- Physics
- 2013

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,…