首页|Researchers from University of Sao Paulo Detail Findings in Machine Learning (Op timized Continuous Dynamical Decoupling Via Differential Geometry and Machine Le arning)
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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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.”
Sao CarlosBrazilSouth AmericaCybor gsEmerging TechnologiesMachine LearningUniversity of Sao Paulo
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