Unsupervised generative modeling using matrix product states

HIGHLIGHTS

• who: Zhao-Yu Han et al. from the SchoolPeking University, Beijing, China have published the Article: Unsupervised Generative Modeling Using Matrix Product States, in the Journal: (JOURNAL) of 17/07/2018
• what: Inspired by probabilistic interpretation of quantum physics the authors propose a generative model using matrix product states which is a tensor network originally proposed for describing (particularly one-dimensional) entangled quantum states. At the research frontier of generative modeling, it is used for finding good data representation and dealing with tasks with missing data. X 8, 031012 samples, which is identical to one . . .
  

   

  

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