Quenches near Ising quantum criticality as a challenge for artificial neural networks
The near-critical unitary dynamics of quantum Ising spin chains in transversal and longitudinal magnetic fields is studied using an artificial neural network representation of the wave function. A focus is set on strong spatial correlations which build up in the system following a quench into the vi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
31 July 2018
|
| In: |
Physical review
Year: 2018, Volume: 98, Issue: 2 |
| ISSN: | 2469-9969 |
| DOI: | 10.1103/PhysRevB.98.024311 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1103/PhysRevB.98.024311 Verlag, Volltext: https://link.aps.org/doi/10.1103/PhysRevB.98.024311 |
| Author Notes: | Stefanie Czischek, Martin Gärttner, and Thomas Gasenzer |
Search Result 1
Quenches near Ising quantum criticality as a challenge for artificial neural networks
Article (Journal)
Chapter/Article
Online Resource