دورية أكاديمية
A Convex Hull-Based Machine Learning Algorithm for Multipartite Entanglement Classification
| العنوان: | A Convex Hull-Based Machine Learning Algorithm for Multipartite Entanglement Classification |
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| المؤلفون: | Pingxun Wang |
| المصدر: | Applied Sciences, Vol 12, Iss 24, p 12778 (2022) |
| بيانات النشر: | MDPI AG, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Technology LCC:Engineering (General). Civil engineering (General) LCC:Biology (General) LCC:Physics LCC:Chemistry |
| مصطلحات موضوعية: | multipartite entanglement, G states, W states, ensemble learning, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999 |
| الوصف: | Quantum entanglement becomes more complicated and capricious when more than two parties are involved. There have been methods for classifying some inequivalent multipartite entanglements, such as GHZ states and W states. In this paper, based on the fact that the set of all W states is convex, we approximate the convex hull by some critical points from the inside and propose a method of classification via the tangent hyperplane. To accelerate the calculation, we bring ensemble learning of machine learning into the algorithm, thus improving the accuracy of the classification. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2076-3417 |
| Relation: | https://www.mdpi.com/2076-3417/12/24/12778; https://doaj.org/toc/2076-3417 |
| DOI: | 10.3390/app122412778 |
| URL الوصول: | https://doaj.org/article/2af49a3ac83b430c9d77385f28fd5018 |
| رقم الأكسشن: | edsdoj.2af49a3ac83b430c9d77385f28fd5018 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 20763417 |
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| DOI: | 10.3390/app122412778 |