Tensor Network Diagrams for People in a Hurry
A tensor is a multidimensional array. A vector is a \(1\)-tensor; a matrix is a \(2\)-tensor. \(3\)-tensors, \(4\)-tensors, and so on also exist, and we treat them very similarly. If \(v\) is a vector, we might use \(v_i\) to refer to the \(i\)-th element. If \(A\) is a matrix, we might consider elements \(A_{ij}\). For higher-dimensional tensors, we just add more indices: \(T_{ijkl}\) refers to a specific element of the \(4\)-tensor \(T\).