Identifying topological order through unsupervised machine learning

Rodriguez-Nieva, Joaquin F.; Scheurer, Mathias S.

doi:10.1038/s41567-019-0512-x

Record: found
Abstract: not found
Article: not found

Identifying topological order through unsupervised machine learning

Author(s): Joaquin F. Rodriguez-Nieva , Mathias S. Scheurer

Publication date (Electronic): May 6 2019

Journal: Nature Physics

Publisher: Springer Science and Business Media LLC

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 28

Record: found
Abstract: not found
Article: not found

Unpaired Majorana fermions in quantum wires

A. Kitaev (2001)

0 comments Cited 884 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Learning phase transitions by confusion

Evert van Nieuwenburg, Ye-Hua Liu, Sebastian Huber (2017)

A neural-network technique can exploit the power of machine learning to mine the exponentially large data sets characterizing the state space of condensed-matter systems. Topological transitions and many-body localization are first on the list.

0 comments Cited 264 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Duality in Generalized Ising Models and Phase Transitions without Local Order Parameters

Franz Wegner (1971)

0 comments Cited 217 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Title: Nature Physics

Abbreviated Title: Nat. Phys.

Publisher: Springer Science and Business Media LLC

ISSN (Print): 1745-2473

ISSN (Electronic): 1745-2481

Publication date (Electronic): May 6 2019

Article

DOI: 10.1038/s41567-019-0512-x

SO-VID: d10caf7c-8280-4afc-aef1-acaf4ad53ac9

License:

http://www.springer.com/tdm

History

Data availability:

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.