Quantum Criticality with the Multi-scale Entanglement Renormalization Ansatz
Glen Evenbly, Guifre Vidal
TL;DR
This work introduces the scale-invariant MERA as a tensor-network ansatz tailored for 1D quantum critical systems, enabling direct access to scale-invariant operators and conformal data from lattice Hamiltonians. It contrasts MERA with MPS, offering benchmarks on Ising, Potts, XX, and Heisenberg zig-zag models, and demonstrates accurate extraction of scaling dimensions and OPE coefficients of local and non-local operators. The authors detail symmetry handling, transitional layers, and methods for obtaining local densities and conformal data, illustrating that MERA excels at long-range correlations and identifying the underlying CFT. The results suggest MERA as a powerful tool for characterizing quantum criticality and conformal data, with extensions to boundaries, interfaces, and higher dimensions discussed as future directions.
Abstract
The goal of this manuscript is to provide an introduction to the multi-scale entanglement renormalization ansatz (MERA) and its application to the study of quantum critical systems. Only systems in one spatial dimension are considered. The MERA, in its scale-invariant form, is seen to offer direct numerical access to the scale-invariant operators of a critical theory. As a result, given a critical Hamiltonian on the lattice, the scale-invariant MERA can be used to characterize the underlying conformal field theory. The performance of the MERA is benchmarked for several critical quantum spin chains, namely Ising, Potts, XX and (modified) Heisenberg models, and an insightful comparison with results obtained using a matrix product state is made. The extraction of accurate conformal data, such as scaling dimensions and operator product expansion coefficients of both local and non-local primary fields, is also illustrated.
