Abstract
We construct a tensor network representation of the three-dimensional (3D) toric code ground state that is stable to a generating set of uniform local tensor perturbations, including those that do not map to local operators on the physical Hilbert space. The stability is established by mapping the phase diagram of the perturbed tensor network to that of the 3D Ising gauge theory, which has a nonzero finite temperature transition. More generally, we find that the stability of a topological tensor network state is determined by the form of its virtual symmetries and the topological excitations created by virtual operators that break those symmetries. In particular, a dual representation of the 3D toric code ground state, as well as representations of the X-cube and cubic code ground states, for which pointlike excitations are created by such operators, are found to be unstable.
| Original language | English |
|---|---|
| Article number | 235151 |
| Number of pages | 15 |
| Journal | Physical Review B |
| Volume | 104 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - 27 Dec 2021 |
Funding
C.D. would like to thank Markus Hauru for stimulating discussions about closely related topics. D.W. acknowledges support from the Simons Foundation. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme through the ERC Starting Grant WASCOSYS (Grant No. 636201) and the ERC Consolidator Grant SEQUAM (Grant No. 863476), as well as the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) under Germany's Excellence Strategy–EXC-2111–390814868.
Austrian Fields of Science 2012
- 103015 Condensed matter
- 103025 Quantum mechanics
- 101028 Mathematical modelling
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Dive into the research topics of 'On the stability of topological order in tensor network states'. Together they form a unique fingerprint.Projects
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SEQUAM: Symmetries and Entanglement in Quantum Matter
Schuch, N. (Project Lead)
1/10/20 → 30/09/26
Project: Research funding
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