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机器学习满足了su(n) 李代数:通过精确的痕迹保存来增强量子动力学学习

Arif Ullah1, Jeremy O Richardson2

  • 1School of Physics and Optoelectronic Engineering, Anhui University, Hefei 230601, Anhui, China.

The Journal of chemical physics
|June 24, 2025
PubMed
概括

这项研究引入了一种新的机器学习方法,使用su (n) 谎代数来准确模拟量子系统. 这种方法确保了痕迹的保存,提高了量子消散动态的效率和准确性.

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