Application of Tensor Network Formalism for Processing Tensor Data
摘要
Next-generation mobility services require a huge amount of data with multiple attributes. This data is stored as a multi-dimensional array called a tensor. A tensor network is an effective tool for representing a large composite tensor. As an application of the tensor-network formalism to tensor data processing, we present three research results from statistical physics: tree tensor networks, tensor ring decomposition, and MERA.