Large language models are quite useful to perform searches through the literature, so you have a good point to start. So, this is what I just got asking ChatGPT for references for the numerical calculation of the replica correlation lengths in topologically ordered systems:
1. Pizorn & Verstraete (2010):
Title: “Topological entanglement entropy in PEPS”
Journal: Physical Review A, 81, 032307 (2010).
DOI: 10.1103/PhysRevA.81.032307
2. Orús, Wei, Buerschaper, Van den Nest (2013):
Title: “Geometric entanglement in topologically ordered states”
Journal: Physical Review A, 87, 042328 (2013).
DOI: 10.1103/PhysRevA.87.042328
3. Schuch, Pérez-García, and Verstraete (2010):
Title: “Classifying quantum phases using matrix product states and PEPS”
Journal: Physical Review B, 81, 024451 (2010).
DOI: 10.1103/PhysRevB.81.024451
4. Schuch, Cirac, Verstraete (2011):
Title: “Classifying topologically ordered phases in 2+1 dimensions using matrix product states and PEPS”
Journal: Annals of Physics, 325, 2153-2215 (2010).
DOI: 10.1016/j.aop.2010.04.003
5. Pizorn, Verstraete (2010):
Title: “Topological entanglement entropy in PEPS and tensor networks”
Journal: Physical Review A, 81, 052324 (2010).
DOI: 10.1103/PhysRevA.81.052324
Very nice! Well, until you realize that all five references are totally made up and the provided DOIs are either 404s or go to completely different papers.
I feel being snarXived.