activity
20132024
most citedQuantum Field Theory of X-Cube Fracton Topological Order and Robust Degeneracy from Geometry

204 citations · 2.1k across the 40 of their papers we have counts for

collaborators

40 papers

quant-ph2024

Reweighted Time-Evolving Block Decimation for Improved Quantum Dynamics Simulations

Sayak Guha Roy, Kevin Slagle

We introduce a simple yet significant improvement to the time-evolving block decimation (TEBD) tensor network algorithm for simulating the time dynamics of strongly correlated one-…

cs.CL2024★ 1 cited

SpaceByte: Towards Deleting Tokenization from Large Language Modeling

Kevin Slagle

Tokenization is widely used in large language models because it significantly improves performance. However, tokenization imposes several disadvantages, such as performance biases,…

quant-ph2023

Interpolating Between the Gauge and Schrödinger Pictures of Quantum Dynamics

Sayak Guha Roy, Kevin Slagle

Although spatial locality is explicit in the Heisenberg picture of quantum dynamics, spatial locality is not explicit in the Schrödinger picture equations of motion. The gauge pict…

cond-mat.str-el2023★ 2 cited

Assembling Kitaev honeycomb spin liquids from arrays of 1D symmetry protected topological phases

Yue Liu, Nathanan Tantivasadakarn, Kevin Slagle +2

The Kitaev honeycomb model, which is exactly solvable by virtue of an extensive number of conserved quantities, supports a gapless quantum spin liquid phase as well as gapped desce…

quant-ph2022★ 1 cited

Y-cube model and fractal structure of subdimensional particles on hyperbolic lattices

Han Yan, Kevin Slagle, Andriy H. Nevidomskyy

Unlike ordinary topological quantum phases, fracton orders are intimately dependent on the underlying lattice geometry. In this work, we study a generalization of the X-cube model,…

quant-ph2022★ 3 cited

Quantum Gauge Networks: A New Kind of Tensor Network

Kevin Slagle

Although tensor networks are powerful tools for simulating low-dimensional quantum physics, tensor network algorithms are very computationally costly in higher spatial dimensions.…