Matrix product states represent ground states faithfully
F. Verstraete, J. I. Cirac
TL;DR
This work investigates how faithfully matrix product states (MPS) can represent ground states of 1D quantum spin systems, including critical ones, and provides rigorous bounds on approximation quality.The authors derive bounds that tie MPS truncation errors to the tail of the reduced density operator eigenvalue spectra and to block Renyi entropies, linking entanglement structure to representational efficiency.For translationally invariant 1D systems, the results show that block entropy grows only logarithmically in block size for many cases, implying a bond dimension that grows polynomially with system size to maintain fixed accuracy, hence efficient classical description even at criticality.These findings justify the practical success of DMRG and related renormalization group methods and clarify why quantum speedups are not guaranteed for 1D ground-state problems within this framework.
Abstract
We quantify how well matrix product states approximate exact ground states of 1-D quantum spin systems as a function of the number of spins and the entropy of blocks of spins. We also investigate the convex set of local reduced density operators of translational invariant systems. The results give a theoretical justification for the high accuracy of renormalization group algorithms, and justifies their use even in the case of critical systems.
