Entanglement phase transitions in random stabilizer tensor networks

Volume: 105, Issue: 10
Published: Mar 10, 2022
Abstract
The authors explore a class of random tensor network models with stabilizer local tensors and study the entanglement phase transitions in these models. They find that an entanglement phase transition can be induced by randomly breaking bulk tensor legs and they extract a set of universal data characterizing the conformal invariance at the critical points. The results clearly demonstrate regimes where a geometric bond percolation picture does or...
Paper Details
Title
Entanglement phase transitions in random stabilizer tensor networks
Published Date
Mar 10, 2022
Volume
105
Issue
10
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.