Entanglement Entropy From Tensor Network States for Stabilizer Codes
Huan He, Yunqin Zheng, B. Andrei Bernevig, Nicolas Regnault

TL;DR
This paper constructs tensor network states for 3D stabilizer code ground states, analyzes their entanglement properties, and reveals unique corrections and degeneracy signatures, especially in fracton models like the X-cube and Haah codes.
Contribution
It introduces tensor network representations for 3D stabilizer codes and computes their entanglement spectra and entropy, highlighting corrections and degeneracy features.
Findings
Entanglement entropy shows constant and linear corrections in fracton models.
Entanglement spectra are flat for the models considered.
Transfer matrices are projectors with eigenvalues 0 or 1, related to ground state degeneracy.
Abstract
In this paper, we present the construction of tensor network states (TNS) for some of the degenerate ground states of 3D stabilizer codes. We then use the TNS formalism to obtain the entanglement spectrum and entropy of these ground-states for some special cuts. In particular, we work out the examples of the 3D toric code, the X-cube model and the Haah code. The latter two models belong to the category of "fracton" models proposed recently, while the first one belongs to the conventional topological phases. We mention the cases for which the entanglement entropy and spectrum can be calculated exactly: for these, the constructed TNS is the singular value decomposition (SVD) of the ground states with respect to particular entanglement cuts. Apart from the area law, the entanglement entropies also have constant and linear corrections for the fracton models, while the entanglement entropies…
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Taxonomy
TopicsCellular Automata and Applications · Quantum many-body systems · Quantum Computing Algorithms and Architecture
