A quantum graph FFT with applications to partial differential equations on networks

The Fast Fourier Transform is extended to functions on finite graphs whose edges are identified with intervals of finite length. Spectral and pseudospectral methods are developed to solve a wide variety of time dependent partial differential equations on domains which are modeled as networks of one dimensional segments joined at nodes.

Authors

Publication Details

Journal
Results in Applied Mathematics
Published
2026-01-06
DOI
https://doi.org/10.1016/j.rinam.2025.100670
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

A quantum graph FFT with applications to partial differential equations on networks

Robert Carlson
Results in Applied Mathematics
Quantum Computing Algorithms and Architecture
article

A quantum graph FFT with applications to partial differential equations on networks

Robert Carlson
article en

Abstract

The Fast Fourier Transform is extended to functions on finite graphs whose edges are identified with intervals of finite length. Spectral and pseudospectral methods are developed to solve a wide variety of time dependent partial differential equations on domains which are modeled as networks of one dimensional segments joined at nodes.

Results in Applied MathematicsVol. 29
Openalex Percentile: Top 96%
Quantum Computing Algorithms and Architecture
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A quantum graph FFT with applications to partial differential equations on networks — Robert Carlson · Results in Applied Mathematics (2026) | TGRS Research Map | TGRS