Detecting entanglement in high-spin quantum systems via a stacking ensemble of machine learning models

Abstract Reliable quantification of quantum entanglement in high-spin or many body systems remains a major computational challenge. Extending machine learning techniques to genuinely high dimensional settings is urgently needed. In this study, we investigate ensemble machine learning as a scalable f...

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書誌詳細

主要な著者:	M. Y. Abd-Rabbou, Ahmed A. Zahia, Amr M. Abdallah, Ashraf A. Gouda, Cong-Feng Qiao
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2026-06-01
シリーズ:	Scientific Reports
主題:	Quantum entanglement High-spin system Machine learning Ensemble learning Quantum state regression.
オンライン･アクセス:	https://doi.org/10.1038/s41598-026-53789-6
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