Matrix Product States (MPS) are a class of tensor network states that efficiently represent quantum many-body systems, particularly in one-dimensional systems, by decomposing the state into a product of matrices. They are pivotal in numerical simulations such as the Density Matrix Renormalization Group (DMRG) due to their ability to capture entanglement and reduce computational complexity.