6 papers
Distinguishing Ordered Phases using Machine Learning and Classical Shadows
Leandro Morais, Tiago Pernambuco, Rodrigo G. Pereira +3
Classifying phase transitions is a fundamental and complex challenge in condensed matter physics. This work proposes a framework for identifying quantum phase transitions by combin…
Electronic interactions in a vacancy-engineered honeycomb lattice: Transition from a nodal-line semimetal to a magnetic insulator
Andressa R. Medeiros-Silva, Mariana Malard, Rodrigo G. Pereira +1
Nodal-line semimetals (NLSMs) harbor a variety of novel physical properties owing to the particularities of the band degeneracies that characterize the spectrum of these materials.…
Predicting topological invariants and unconventional superconducting pairing from density of states and machine learning
Flavio Noronha, Askery Canabarro, Rafael Chaves +1
Competition between magnetism and superconductivity can lead to unconventional and topological superconductivity. However, the experimental confirmation of the presence of Majorana…
Emergent dipole field theory in atomic ladders
Hernan B. Xavier, Poetri Sonya Tarabunga, Marcello Dalmonte +1
We study the dynamics of hard-core bosons on ladders, in the presence of strong kinetic constrains akin to those of the Bariev model. We use a combination of analytical methods and…
Fractonic criticality in Rydberg atom arrays
Rafael A. Macedo, Rodrigo G. Pereira
Fractonic matter can undergo unconventional phase transitions driven by the condensation of particles that move along subdimensional manifolds. We propose that this type of quantum…
Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm
André J. Ferreira-Martins, Leandro Silva, Alberto Palhares +4
The classification of phases and the detection of phase transitions are central and challenging tasks in diverse fields. Within physics, it relies on the identification of order pa…