首页|Studies from North China Electric Power University Reveal New Findings on Machin e Learning (Quantifying Quantum Coherence Using Machine Learning Methods)
Studies from North China Electric Power University Reveal New Findings on Machin e Learning (Quantifying Quantum Coherence Using Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting from Beijing, People's Republic of China, by NewsRx journalists, research stated, "Quantum coh erence is a crucial resource in numerous quantum processing tasks." Funders for this research include Nsfc; Fundamental Research Funds For The Centr al Universities. Our news editors obtained a quote from the research from North China Electric Po wer University: "The robustness of coherence provides an operational measure of quantum coherence, which can be calculated for various states using semidefinite programming. However, this method depends on convex optimization and can be tim e-intensive, especially as the dimensionality of the space increases. In this st udy, we employ machine learning techniques to quantify quantum coherence, focusi ng on the robustness of coherence. By leveraging artificial neural networks, we developed and trained models for systems with different dimensionalities."
North China Electric Power UniversityB eijingPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachin e Learning
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