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Electronic Colloquium on Computational Complexity

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TR26-137 | 21st July 2026
Joshua Brakensiek, Yeyuan Chen, Aaron (Louie) Putterman, Zihan Zhang

Bounds and Limitations on Codes Achieving List Recovery Capacity

In coding theory, list recoverability is a fundamental concept which robustly captures how ``spread-out'' codewords are in a code.
More formally, given a code $C \subseteq \Sigma^n$ and input lists $S_1, \hdots, S_n \subseteq \Sigma$ of size at most $\ell$, list recoverability requires that there are at most $L$ codewords ... more >>>


TR26-136 | 30th July 2026
Shuichi Hirahara, Naoto Ohsaka

Optimal PSPACE-hardness of Approximating $q$-CSP Reconfiguration

In the Maxmin $q$-CSP Reconfiguration problem, given a satisfiable $q$-CSP instance and a pair of its satisfying assignments, we are asked to transform one assignment into the other by repeatedly changing the value assigned to a single variable. The objective is to find such a transformation that maximizes the minimum ... more >>>


TR26-135 | 7th August 2026
Nikolai Chukhin, Alexander Kulikov, Maksim Levitskii, Ivan Mihajlin

Quantum Algorithms for Subset SUM and $k$-SUM: Faster and Simpler

The Subset Sum problem asks whether, given $n$ integers and a target, some subset of the integers sums to the target. Its best known worst-case running time is $O^*(2^{n/2})$ (Horowitz and Sahni, 1974), whereas the best quantum upper bound is $O^*(2^{n/3})$ (Bernstein, Jeffery, Lange, and Meurer, 2013). The $k$-SUM problem ... more >>>



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