Volume 51

Published on November 2024

Volume title: Proceedings of CONF-MPCS 2024 Workshop: Quantum Machine Learning: Bridging Quantum Physics and Computational Simulations

Conference website: https://2024.confmpcs.org/
ISBN:978-1-83558-653-2(Print) / 978-1-83558-654-9(Online)
Conference date: 9 August 2024
Editor:Anil Fernando, Marwan Omar
Research Article
Published on 25 October 2024 DOI: 10.54254/2753-8818/51/2024CH0143
Yibing Jiang
DOI: 10.54254/2753-8818/51/2024CH0143

The rate of obesity across the world has seen a steady increase in the past several decades. This disease can lead to significant harm associated with one’s body functioning and mental health. The potential causes of obesity incorporate social, environmental, and personal factors. This article attempts to cover the correlation between obesity and i...

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Research Article
Published on 25 October 2024 DOI: 10.54254/2753-8818/51/2024CH0144
Wenyu Wang
DOI: 10.54254/2753-8818/51/2024CH0144

Heart disease remains a global health threat, making rapid identification crucial. Using the Heart Disease Dataset from Kaggle, this research employs a Random Forest model to analyze 13 clinical variables from 1,025 samples. To improve accuracy and address class imbalance, the dataset was split into training and test sets, utilizing methods such as...

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Research Article
Published on 25 October 2024 DOI: 10.54254/2753-8818/51/2024CH0150
Rongguang Mou
DOI: 10.54254/2753-8818/51/2024CH0150

Nowadays, the enterprise employee turnover rate has become an important factor in measuring enterprise knowledge loss, human resource management, enterprise comprehensive competitiveness, and enterprise expenditure. Therefore, as much as possible may affect the enterprise employee turnover data and analyze the influence on employee turnover degree ...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0148
Che Liu
DOI: 10.54254/2753-8818/51/2024CH0148

Stock market has been and will always be the central of the financial market. It is also a leading indicator of the economy react before the business cycle. Thus, predicted the trend of the stock market should be considered by market participants, policymakers and academicians. Simultaneously, technology stock market is gradually dominating the mar...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0158
Tianzhu Yin
DOI: 10.54254/2753-8818/51/2024CH0158

Quantum Support Vector Machines (QSVMs) combine the fundamental principles of quantum computing and classical Support Vector Machines (SVMs) to improve machine learning performance. In this paper, the author will further explore QSVM. Firstly, introduce the basics of classical SVM, including hyperplane, margin, support vector, and kernel methods. T...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0159
Yuchong Yao
DOI: 10.54254/2753-8818/51/2024CH0159

This article delves into the fundamental aspects of qubits in quantum computation, emphasizing their coordination, mathematical representation through the Bloch Sphere, and the unique advantages and challenges of superconducting, trapped ion, and photonic qubits. It highlights the transformative potential of quantum algorithms in solving complex pr...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0161
Wenyu Dai
DOI: 10.54254/2753-8818/51/2024CH0161

Linear regression method can be performed to predict the outcome from one or many input values. Its versatility allows it to be applied on many datasets that contain correlated values. However, researches on the application of linear regression on medical insurance costs, a highly important part of people’s life, are few. This paper studies an insu...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0170
Chang Guo
DOI: 10.54254/2753-8818/51/2024CH0170

In the recent development of Autonomous Vehicles (AVs), human-machine trust and take-over strategy are important research contents, which is related to whether the driving system can make the most of its performance and ensure driving safety. At the same time, the unique advantages of Multi-Sensor Information Fusion (MSIF) also make it more and mor...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0173
Jiamu Liu
DOI: 10.54254/2753-8818/51/2024CH0173

In recent years, unmanned aerial vehicles (UAVs) have seen extensive use in fields such as agriculture, search and rescue, commercial, and military operations, driving the demand for autonomous navigation capabilities. Though GPS is the traditional method used for navigation, it becomes problematic in harsh environments like deserts. The Visual Sim...

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Research Article
Published on 1 November 2024 DOI: 10.54254/2753-8818/51/2024CH0174
Shutong Zhong
DOI: 10.54254/2753-8818/51/2024CH0174

The method is to construct a multiple linear regression model to examine the variables that significantly affect US home prices. The dataset has 13 variables and 545 observations, and it was obtained via Kaggle. This paper also considers comparing the multiple linear regression models and random forest model for predicting house prices and thus con...

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