Matrix Product States and Projected Entangled Pair States: Concepts, Symmetries, and Theorems
Ignacio Cirac, David Perez-Garcia, Norbert Schuch, Frank Verstraete
TL;DR
<3-5 sentence high-level summary>Matrix Product States and Projected Entangled Pair States provide a unifying tensor-network framework in which ground states of local Hamiltonians are efficiently describable when entanglement satisfies area laws. The review develops the formal theory, including fundamental theorems, bulk-boundary correspondences, and symmetry classifications (SPT/SET) in 1D and 2D, with extensions to fermionic, continuous, and infinite tensor networks. It highlights how transfer matrices encode correlations and entanglement spectra, how RG fixed points and MPO-injectivity characterize topological order, and how bulk physics is reflected at boundaries via entanglement Hamiltonians. The work connects these tensor-network structures to RG flows, excitations, and holographic ideas, underlining their central role in understanding phases of matter and facilitating efficient simulations of strongly correlated systems.
Abstract
The theory of entanglement provides a fundamentally new language for describing interactions and correlations in many body systems. Its vocabulary consists of qubits and entangled pairs, and the syntax is provided by tensor networks. We review how matrix product states and projected entangled pair states describe many-body wavefunctions in terms of local tensors. These tensors express how the entanglement is routed, act as a novel type of non-local order parameter, and we describe how their symmetries are reflections of the global entanglement patterns in the full system. We will discuss how tensor networks enable the construction of real-space renormalization group flows and fixed points, and examine the entanglement structure of states exhibiting topological quantum order. Finally, we provide a summary of the mathematical results of matrix product states and projected entangled pair states, highlighting the fundamental theorem of matrix product vectors and its applications.
