We introduce the subsystem symmetry-preserving real-space entanglement renormalization group and apply it to study bifurcating flows generated by linear and fractal subsystem symmetry-protected topological phases in two spatial dimensions. We

# Visualizing Quasiparticles from Quantum Entanglement for general 1D phases. (arXiv:2010.15137v1 [cond-mat.str-el])

In this work, we present a quantum information framework for the entanglement behavior of the low energy quasiparticle (QP) excitations in various quantum phases in one-dimensional (1D) systems. We first

# Fracton topological phases from coupled wires. (arXiv:2010.15148v1 [cond-mat.str-el])

In three dimensions, gapped phases can support “fractonic” quasiparticle excitations, which are either completely immobile or can only move within a low-dimensional submanifold, a peculiar topological phenomenon going beyond the

# Bifurcating subsystem symmetric entanglement renormalization in two dimensions. (arXiv:2010.15124v1 [cond-mat.str-el])

We introduce the subsystem symmetry-preserving real-space entanglement renormalization group and apply it to study bifurcating flows generated by linear and fractal subsystem symmetry-protected topological phases in two spatial dimensions. We

# The Fractonal Quantum Hall Effect: Fracton Phases from Chiral Layers. (arXiv:2010.15127v1 [cond-mat.str-el])

We present a coupled-wire construction of a model with chiral fracton topological order. The model combines the known construction of $\nu=1/m$ Laughlin fractional quantum Hall states with a planar p-string

# Visualizing Quasiparticles from Quantum Entanglement for general 1D phases. (arXiv:2010.15137v1 [cond-mat.str-el])

In this work, we present a quantum information framework for the entanglement behavior of the low energy quasiparticle (QP) excitations in various quantum phases in one-dimensional (1D) systems. We first

# Raw Audio for Depression Detection Can Be More Robust Against Gender Imbalance than Mel-Spectrogram Features. (arXiv:2010.15120v1 [cs.SD])

Depression is a large-scale mental health problem and a challenging area for machine learning researchers in terms of the detection of depression. Datasets such as the Distress Analysis Interview Corpus

# papaya2: 2D Irreducible Minkowski Tensor computation. (arXiv:2010.15138v1 [cs.GR])

A common challenge in scientific and technical domains is the quantitative description of geometries and shapes, e.g. in the analysis of microscope imagery or astronomical observation data. Frequently, it is

# DeSMOG: Detecting Stance in Media On Global Warming. (arXiv:2010.15149v1 [cs.CL])

Citing opinions is a powerful yet understudied strategy in argumentation. For example, an environmental activist might say, “Leading scientists agree that global warming is a serious concern,” framing a clause

# Higher Spin Dark Matter. (arXiv:2010.15125v1 [hep-ph])

Little is known about dark matter beyond the fact that it does not interact with the standard model or itself, or else does so incredibly weakly. A natural candidate, given