Louisiana State University Researchers Reveal New Findings on Physics (Detecting Quantum Critical Points of Correlated Systems by Quantum Convolutional Neural Network Using Data from Variational Quantum Eigensolver)

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Louisiana State University Researchers Reveal New Findings on Physics (Detecting Quantum Critical Points of Correlated Systems by Quantum Convolutional Neural Network Using Data from Variational Quantum Eigensolver)

机译：Louisiana State University Researchers Reveal New Findings on Physics (Detecting Quantum Critical Points of Correlated Systems by Quantum Convolutional Neural Network Using Data from Variational Quantum Eigensolver)

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By a News Reporter-Staff News Editor at Network Daily News – Investigatorsdiscuss new findings in physics. According to news reporting originating from Baton Rouge, Louisiana,by NewsRx correspondents, research stated, “Machine learning has been applied to a wide variety ofmodels, from classical statistical mechanics to quantum strongly correlated systems, for classifying phasetransitions.”

机译：由一个新闻记者在网络新闻编辑每日新闻,调查人员在物理。来自巴吞鲁日路易斯安那州NewsRx记者,研究指出,“机器被应用到各种学习的量子系统有着密切的联系,分类阶段

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《Network Daily News》 |2023年第6期|64-64|共1页
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Louisiana State University Researchers Reveal New Findings on Physics (Detecting Quantum Critical Points of Correlated Systems by Quantum Convolutional Neural Network Using Data from Variational Quantum Eigensolver)

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