Robotics & Machine Learning Daily News2024,Issue(Mar.18) :109-110.DOI:10.1103/Phys-RevA.108.052424

Research Conducted at Ningbo University Has Provided New Information about Machi ne Learning (Detecting Genuine Multipartite Entanglement Via Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :109-110.DOI:10.1103/Phys-RevA.108.052424

Research Conducted at Ningbo University Has Provided New Information about Machi ne Learning (Detecting Genuine Multipartite Entanglement Via Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Ningbo, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “In recent years, supervised and semisupervised machine learning methods such as neural net works, support vector machines (SVMs), and semisupervised support vector machine s (S4VMs) have been widely used in quantum entanglement and quantum steering ver ification problems. However, few studies have focused on detecting genuine multi partite entanglement based on machine learning.”

Key words

Ningbo/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines/Vec tor Machines/Ningbo University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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