A tensor network quotient takes the vacuum to the thermal state
Bartlomiej Czech, Glen Evenbly, Lampros Lamprou, Samuel McCandlish, Xiao-Liang Qi, James Sully, Guifre Vidal
TL;DR
The paper demonstrates that a vacuum MERA can realize discrete local conformal transformations by strategically adding or removing tensors to implement logarithmic maps, and that quotients by discrete scale symmetries produce tensor networks for thermal states on a circle. This is tested in the critical Ising model, where the quotient networks reproduce the thermal spectrum with the predicted reduced inverse temperature, supporting the view that optimized MERA embodies emergent local scale invariance. The work clarifies how MERA encodes conformal structure through a tripartite causal decomposition (spacelike, lightlike, timelike) and connects these ideas to holographic duality, offering a concrete bridge between tensor networks and AdS/CFT notions such as BTZ black holes. Together, these results advance the use of tensor networks to model conformal dynamics and thermally curved geometries in a discretized setting.
Abstract
In 1+1-dimensional conformal field theory, the thermal state on a circle is related to a certain quotient of the vacuum on a line. We explain how to take this quotient in the MERA tensor network representation of the vacuum and confirm the validity of the construction in the critical Ising model. This result suggests that the tensors comprising MERA can be interpreted as performing local scale transformations, so that adding or removing them emulates conformal maps. In this sense, the optimized MERA recovers local conformal invariance, which is explicitly broken by the choice of lattice. Our discussion also informs the dialogue between tensor networks and holographic duality.
