Quantum-Enhanced Support Vector Machine for Large-Scale Stellar
Classification with GPU Acceleration
- URL: http://arxiv.org/abs/2311.12328v1
- Date: Tue, 21 Nov 2023 03:40:20 GMT
- Title: Quantum-Enhanced Support Vector Machine for Large-Scale Stellar
Classification with GPU Acceleration
- Authors: Kuan-Cheng Chen, Xiaotian Xu, Henry Makhanov, Hui-Hsuan Chung, Chen-Yu
Liu
- Abstract summary: We introduce an innovative Quantum-enhanced Support Vector Machine (QSVM) approach for stellar classification, leveraging the power of quantum computing and GPU acceleration.
Our algorithm significantly surpasses traditional methods such as K-Nearest Neighbors (KNN) and Logistic Regression (LR)
Our findings underscore the transformative potential of quantum machine learning in astronomical research, marking a significant leap forward in both precision and processing speed for stellar classification.
- Score: 2.1374208474242815
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In this study, we introduce an innovative Quantum-enhanced Support Vector
Machine (QSVM) approach for stellar classification, leveraging the power of
quantum computing and GPU acceleration. Our QSVM algorithm significantly
surpasses traditional methods such as K-Nearest Neighbors (KNN) and Logistic
Regression (LR), particularly in handling complex binary and multi-class
scenarios within the Harvard stellar classification system. The integration of
quantum principles notably enhances classification accuracy, while GPU
acceleration using the cuQuantum SDK ensures computational efficiency and
scalability for large datasets in quantum simulators. This synergy not only
accelerates the processing process but also improves the accuracy of
classifying diverse stellar types, setting a new benchmark in astronomical data
analysis. Our findings underscore the transformative potential of quantum
machine learning in astronomical research, marking a significant leap forward
in both precision and processing speed for stellar classification. This
advancement has broader implications for astrophysical and related scientific
fields
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