List decoding expander-based codes via fast approximation of expanding CSPs
Singh, Aman
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https://hdl.handle.net/2142/130060
Description
Title
List decoding expander-based codes via fast approximation of expanding CSPs
Author(s)
Singh, Aman
Issue Date
2025-07-24
Director of Research (if dissertation) or Advisor (if thesis)
Granha Jeronimo, Fernando
Department of Study
Siebel School Comp & Data Sci
Discipline
Computer Science
Degree Granting Institution
University of Illinois Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
coding theory
expander codes
regularity
list decoding
Abstract
We present near-linear time list decoding algorithms (in the block-length $n$) for expander-based code constructions. More precisely, we show that \begin{itemize} \item[(i)] For every $\delta \in (0,1)$ and $\epsilon > 0$, there is an explicit family of good Tanner LDPC codes of (design) distance $\delta$ that is $(\delta - \epsilon, O_\varepsilon(1))$ list decodable in time $\widetilde{\mathcal{O}}_{\varepsilon}(n)$ with alphabet size $O_\delta(1)$, \item[(ii)] For every $R \in (0,1)$ and $\epsilon > 0$, there is an explicit family of AEL codes of rate $R$, distance $1-R -\varepsilon$ that is $(1-R-\epsilon, O_\varepsilon(1))$ list decodable in time $\widetilde{\mathcal{O}}_{\varepsilon}(n)$ with alphabet size $\exp(\poly(1/\epsilon))$, and \item[(iii)] For every $R \in (0,1)$ and $\epsilon > 0$, there is an explicit family of AEL codes of rate $R$, distance $1-R-\varepsilon$ that is $(1-R-\epsilon, O(1/\epsilon))$ list decodable in time $\widetilde{\mathcal{O}}_{\varepsilon}(n)$ with alphabet size $\exp(\exp(\poly(1/\epsilon)))$ using recent near-optimal list size bounds from~\cite{JMST25}. \end{itemize}
Our results are obtained by phrasing the decoding task as an agreement CSP \cite{RWZ20,DinurHKNT19} on expander graphs and using the fast approximation algorithm for $q$-ary expanding CSPs from~\cite{Jer23}, which is based on weak regularity decomposition. Similarly to list decoding $q$-ary Ta-Shma's codes in~\cite{Jer23}, we show that it suffices to enumerate over assignments that are constant in each part (of the constantly many) of the decomposition in order to recover all codewords in the list.
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