activity
20102020
most citedVisualizing landscapes of the superconducting gap in heterogeneous superconductor thin films: geometric influences on proximity effects

84 citations · 480 across the 16 of their papers we have counts for

collaborators

16 papers

cond-mat.mes-hall2020★ 14 cited

Majorana zero modes and their bosonization

Victor Chua, Katharina Laubscher, Jelena Klinovaja +1

The simplest continuum model of a one-dimensional non-interacting superconducting fermionic symmetry-protected topological (SPT) phase is studied in great detail using analytical m…

math-ph2018

Phase Space Entanglement Spectrum

Vatsal Dwivedi, Victor Chua

We generalize the position- and momentum-space entanglement cuts to a family of cuts corresponding to regions in the classical phase space. We explicitly compute the entanglement s…

cond-mat.mes-hall2018★ 24 cited

Embedded Topological Insulators

Thomas I. Tuegel, Victor Chua, Taylor L. Hughes

We present a generalization of free fermionic topological insulators that are composed of topological subsystems of differing dimensionality. We specifically focus on topological s…

cond-mat.supr-con2017★ 16 cited

Imaging and controlling vortex dynamics in mesoscopic superconductor-normal-metal-superconductor arrays

Tyler Naibert, Hryhoriy Polshyn, Rita Garrido-Menacho +7

Harnessing the properties of vortices in superconductors is crucial for fundamental science and technological applications; thus, it has been an ongoing goal to locally probe and c…

cond-mat.str-el2017★ 1 cited

Effective field theory of an anomalous Hall metal from interband quantum fluctuations

Victor Chua, Wathid Assawasunthonnet, Eduardo Fradkin

We construct an effective field theory, a two-dimensional two-component metallic system described by a model with two Fermi surfaces ("pockets"). This model describes a translation…

cond-mat.str-el2016★ 5 cited

Holographic Dynamics from Multiscale Entanglement Renormalization Ansatz

Victor Chua, Vasilios Passias, Apoorv Tiwari +1

The Multiscale Entanglement Renormalization Ansatz (MERA) is a tensor network based variational ansatz that is capable of capturing many of the key physical properties of strongly…