Robotics & Machine Learning Daily News2024,Issue(Jun.7) :14-15.

New Findings Reported from Beijing Institute of Technology Describe Advances in Machine Learning (Machine-learning-inspired Quantum Control In Many-body Dynamic s)

北京理工大学的新发现描述了机器学习的进展(多体动力学中机器学习启发的量子控制)

Robotics & Machine Learning Daily News2024,Issue(Jun.7) :14-15.

New Findings Reported from Beijing Institute of Technology Describe Advances in Machine Learning (Machine-learning-inspired Quantum Control In Many-body Dynamic s)

北京理工大学的新发现描述了机器学习的进展(多体动力学中机器学习启发的量子控制)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据中国人民共和国北京的新闻报道,NewsRx记者的研究表明,“实现量子多体态的精确制备对于量子计算和量子模拟的实际实现至关重要。然而,淬灭过程中关键点不可避免的激发所带来的固有挑战需要仔细设计控制场。”本研究的资金来源包括国家自然科学基金(NSFC)、国家重点研究开发项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Achieving precise preparat ion of quantum many-body states is crucial for the practical implementation of q uantum computation and quantum simulation. However, the inherent challenges pose d by unavoidable excitations at critical points during quench processes necessit ate careful design of control fields.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research and Development Program of China.

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing Institute of Techno logy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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