Tensor network methods provide a structured approach to representing and manipulating high-dimensional data by decomposing global information into interconnected low-rank tensors. Originating in the ...

Tensor decomposition encompasses a suite of mathematical techniques for expressing high-dimensional data arrays as structured combinations of lower-dimensional factors. By generalising matrix ...