Russian Quantum Center Reports Findings in Machine Learning (Hybrid quantum-classical machine learning for generative chemistry and drug design)

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Russian Quantum Center Reports Findings in Machine Learning (Hybrid quantum-classical machine learning for generative chemistry and drug design)

机译：Russian Quantum Center Reports Findings in Machine Learning (Hybrid quantum-classical machine learning for generative chemistry and drug design)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Moscow, Russia, by NewsRx correspondents, research stated, “Deep generativechemistry models emerge as powerful tools to expedite drug discovery. However, the immense size andcomplexity of the structural space of all possible drug-like molecules pose significant obstacles, which couldbe overcome with hybrid architectures combining quantum computers with deep classical networks.”

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《Robotics & Machine Learning Daily News》 |2023年第6期|79-80|共2页
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正文语种英语
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Moscow; Russia; Eurasia; Chemistry; Cyborgs; Drug Development; Drugs and Therapies; Emerging Technologies; Health and Medicine; Machine Learning;

Russian Quantum Center Reports Findings in Machine Learning (Hybrid quantum-classical machine learning for generative chemistry and drug design)

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