GitHub

mpi_tensor_contraction_tutorial.md

1. Introduction: Why MPI for Tensor Contractions? In MPS (Matrix Product State) algorithms like DMRG and CheMPS, the computational bottleneck is tensor contraction — multiplying tensors with 3-5 ...
GitHub

TsuyoshiOkubo/Tensor-Network-Tutorial

Slide of main lecture: "Tensor network approach to two-dimensional frustrated spin systems" Video recordings of the lectures in "APCTP-IACS-SNBNCBS Workshop on Computational Methods for Emergent ...
IEEE

SPTPCA: Structure-Preserving Tensor Principal Component Analysis for Hyperspectral Dimensionality Reduction

Abstract: Hyperspectral imaging generates high-dimensional data with complex spatial-spectral correlations that pose significant dimensionality reduction challenges. Principal Component Analysis (PCA) ...
IEEE

Modulation Recognition via Tensor Analysis for MIMO Systems with Malicious Interference

Abstract: This paper proposes a tensor-based modulation classification scheme for Multiple Input Multiple Output systems operating under malicious interference. The method begins by constructing a ...
Frontiers

Low-rank tensor completion with fractal-inspired multi-scale energy regularization

Low-rank tensor completion has become a fundamental tool for recovering high-dimensional data from incomplete observations. However, conventional methods rely primarily on algebraic low-rank priors ...