Noise resilience of two-dimensional Floquet topological phases

We study the effect of noise on two-dimensional periodically driven topological phases, focusing on two examples: the anomalous Floquet-Anderson phase and the disordered Floquet-Chern phase. Both phases show an unexpected robustness against timing noise. The noise-induced decay of initially populated topological edge modes occurs in two stages: At short times, thermalization among edge modes leads to exponential decay. This is followed by slow algebraic decay <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:mrow> <a:mo>∼</a:mo> <a:msup> <a:mi>n</a:mi> <a:mrow> <a:mo>−</a:mo> <a:mn>1</a:mn> <a:mo>/</a:mo> <a:mn>2</a:mn> </a:mrow> </a:msup> </a:mrow> </a:math> with the number of Floquet cycles <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"> <b:mi>n</b:mi> </b:math> . The exponent of <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"> <c:mrow> <c:mn>1</c:mn> <c:mo>/</c:mo> <c:mn>2</c:mn> </c:mrow> </c:math> is characteristic for one-dimensional diffusion, here occurring along the direction perpendicular to the edge. In contrast, localized modes in the bulk exhibit faster decay, <d:math xmlns:d="http://www.w3.org/1998/Math/MathML"> <d:mrow> <d:mo>∼</d:mo> <d:msup> <d:mi>n</d:mi> <d:mrow> <d:mo>−</d:mo> <d:mn>1</d:mn> </d:mrow> </d:msup> </d:mrow> </d:math> , corresponding to two-dimensional diffusion. We demonstrate these behaviors through full-scale numerical simulations and support our conclusions using analytical results based upon a phenomenological model. Our findings indicate that two-dimensional Floquet topological phases are ideal candidates for potential applications of Floquet topology, given the unavoidable presence of both quenched disorder and decoherence in experiments.

Authors

Institutions

Publication Details

Journal
Physical review. B./Physical review. B
Published
2025-11-24
DOI
https://doi.org/10.1103/p437-xlcn
Primary Topic
Topological Materials and Phenomena
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Noise resilience of two-dimensional Floquet topological phases

Karl J. Friston
Physical review. B./Physical review. B
Topological Materials and Phenomena
article

Noise resilience of two-dimensional Floquet topological phases

Karl J. Friston
article en

Abstract

We study the effect of noise on two-dimensional periodically driven topological phases, focusing on two examples: the anomalous Floquet-Anderson phase and the disordered Floquet-Chern phase. Both phases show an unexpected robustness against timing noise. The noise-induced decay of initially populated topological edge modes occurs in two stages: At short times, thermalization among edge modes leads to exponential decay. This is followed by slow algebraic decay <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:mrow> <a:mo>∼</a:mo> <a:msup> <a:mi>n</a:mi> <a:mrow> <a:mo>−</a:mo> <a:mn>1</a:mn> <a:mo>/</a:mo> <a:mn>2</a:mn> </a:mrow> </a:msup> </a:mrow> </a:math> with the number of Floquet cycles <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"> <b:mi>n</b:mi> </b:math> . The exponent of <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"> <c:mrow> <c:mn>1</c:mn> <c:mo>/</c:mo> <c:mn>2</c:mn> </c:mrow> </c:math> is characteristic for one-dimensional diffusion, here occurring along the direction perpendicular to the edge. In contrast, localized modes in the bulk exhibit faster decay, <d:math xmlns:d="http://www.w3.org/1998/Math/MathML"> <d:mrow> <d:mo>∼</d:mo> <d:msup> <d:mi>n</d:mi> <d:mrow> <d:mo>−</d:mo> <d:mn>1</d:mn> </d:mrow> </d:msup> </d:mrow> </d:math> , corresponding to two-dimensional diffusion. We demonstrate these behaviors through full-scale numerical simulations and support our conclusions using analytical results based upon a phenomenological model. Our findings indicate that two-dimensional Floquet topological phases are ideal candidates for potential applications of Floquet topology, given the unavoidable presence of both quenched disorder and decoherence in experiments.

Physical review. B./Physical review. BVol. 112(23)
Lehigh University (US), Universität Innsbruck (AT), University of Delaware (US)
Openalex Percentile: Top 68%
Topological Materials and Phenomena
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.