The quantum cocktail party problem

作者：Xiao Liang; YaDong Wu; Hui Zhai

来源：中国科学 物理学 力学 天文学(英文版), 2020, 63(5): 1-5.

The cocktail party problem refers to the phenomenon that the brain of a listener can focus on a single voice while filtering out a range of other voices in a multi-talker situation,say,in a cocktail party [1].This selective attention problem was firstly defined as the “cocktail party problem” (CPP) by Cherry [2]in 1953.In recent years,machine-learning based approaches to solve the CPP were essential for many industrial applications such as automated speech recognition.The independent component analysis (ICA) is such an algorithm particularly suitable for the CPP.The CPP also has applications in physical science such as astrophysics data analysis [3,4].Recently,it has also been proposed to use the spirit of CPP and ICA method to extract the eigen frequency of a quantum system from a dynamical probe [5].

• 单位
  清华大学