activity
20002026
most citedQuantum Spin Hall Effect and Topological Phase Transition in HgTe Quantum Wells

7.1k citations · 54.5k across the 318 of their papers we have counts for

collaborators
Showing 2019Show all

19 papers · 1 filter

cond-mat.str-el2019★ 6 cited

Fermionic tensor networks for higher order topological insulators from charge pumping

Anna Hackenbroich, B. Andrei Bernevig, Norbert Schuch +1

We apply the charge pumping argument to fermionic tensor network representations of d-dimensional topological insulators (TIs) to obtain tensor network states for (d+1)-dimensional…

cond-mat.mes-hall2019★ 450 cited

Cascade of electronic transitions in magic-angle twisted bilayer graphene

Dillon Wong, Kevin P. Nuckolls, Myungchul Oh +7

Magic-angle twisted bilayer graphene (MATBG) exhibits a rich variety of electronic states, including correlated insulators, superconductors, and topological phases. Understanding t…

cond-mat.str-el2019★ 102 cited

Thermalization and its absence within Krylov subspaces of a constrained Hamiltonian

Sanjay Moudgalya, Abhinav Prem, Rahul Nandkishore +2

We study the quantum dynamics of a simple translation invariant, center-of-mass (CoM) preserving model of interacting fermions in one dimension (1D), which arises in multiple exper…

cond-mat.str-el2019★ 3 cited

Multi-Layer Restricted Boltzmann Machine Representation of 1D Quantum Many-Body Wave Functions

Huan He, Yunqin Zheng, B. Andrei Bernevig +1

We consider representing two classes of 1D quantum wave functions of spin systems, including the AKLT and CFT correlator wave functions, in terms of multi-layer restricted Boltzman…

cond-mat.mes-hall2019★ 165 cited

Real Space Invariants: Twisted Bulk-Boundary Correspondence of Fragile Topology

Zhi-Da Song, Luis Elcoro, B. Andrei Bernevig

In this paper, we propose a new type of bulk-boundary correspondence as a generic approach to theoretically and experimentally detect fragile topological states. When the fragile p…

cond-mat.mtrl-sci2019★ 59 cited

Detection of Topological Materials with Machine Learning

Nikolas Claussen, B. Andrei Bernevig, Nicolas Regnault

Databases compiled using ab-initio and symmetry-based calculations now contain tens of thousands of topological insulators and topological semimetals. This makes the application of…