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Neural Network-based Classification of Crystal Symmetries from X-Ray Diffraction Patterns
Pascal Marc Vecsei, Kenny Choo, Johan Chang +1
Machine learning algorithms based on artificial neural networks have proven very useful for a variety of classification problems. Here we apply them to a well-known problem in crys…
Custodial glide symmetry of quantum spin Hall edge modes in WTe monolayer
Seulgi Ok, Lukas Muechler, Domenico Di Sante +3
A monolayer of WTe has been shown to display quantum spin Hall (QSH) edge modes persisting up to 100~K in transport experiments. Based on density-functional theory calculations…
Lecture Notes on Topological Crystalline Insulators
Titus Neupert, Frank Schindler
We give an introduction to topological crystalline insulators, that is, gapped ground states of quantum matter that are not adiabatically connected to an atomic limit without break…
Higher order symmetry-protected topological states for interacting bosons and fermions
Yizhi You, Trithep Devakul, F. J. Burnell +1
Higher-order topological insulators have a modified bulk-boundary correspondence compared to other topological phases: instead of gapless edge or surface states, they have gapped e…
Symmetries and many-body excited states with neural-network quantum states
Kenny Choo, Giuseppe Carleo, Nicolas Regnault +1
Artificial neural networks have been recently introduced as a general ansatz to compactly represent many- body wave functions. In conjunction with Variational Monte Carlo, this ans…
Many-body localization and delocalization in large quantum chains
Elmer V. H. Doggen, Frank Schindler, Konstantin S. Tikhonov +4
We theoretically study the quench dynamics for an isolated Heisenberg spin chain with a random on-site magnetic field, which is one of the paradigmatic models of a many-body locali…