Researchers from University of Sao Paulo Detail Findings in Machine Learning (Op timized Continuous Dynamical Decoupling Via Differential Geometry and Machine Le arning)

Robotics & Machine Learning Daily News2024，Issue(Nov.4) ：67-67.

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Researchers from University of Sao Paulo Detail Findings in Machine Learning (Op timized Continuous Dynamical Decoupling Via Differential Geometry and Machine Le arning)

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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 Sao Carlos , Brazil, by NewsRx correspondents, research stated, “We introduce a strategy to develop optimally designed fields for continuous dynamical decoupling. Using ou r methodology, we obtain the optimal continuous field configuration to maximize the fidelity of a general one-qubit quantum gate.”

Key words

Sao Carlos/Brazil/South America/Cybor gs/Emerging Technologies/Machine Learning/University of Sao Paulo

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出版年

2024

Robotics & Machine Learning Daily News

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