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Electronic Colloquium on Computational Complexity

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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 >>>


TR26-134 | 7th August 2026
Prashanth Amireddy, Amik Raj Behera, Srikanth Srinivasan, Madhu Sudan, Sophus Valentin Willumsgaard

A Simple Algebraic Proof of the PCP Theorem

We give the simplest known algebraic proof of the PCP theorem, involving only ingredients like code concatenation, polynomial interpolation, and polynomial multiplication. Specifically, we prove that graph 3-coloring has a polynomial-sized proof that can be verified by a verifier tossing logarithmically many coins and querying a constant number of bits ... more >>>


TR26-133 | 7th August 2026
Michal Garlik, Svyatoslav Gryaznov, Hanlin Ren, Iddo Tzameret

The Weak Rank Principle: Lower Bounds and Applications

Given two symbolic matrices $X$ and $Y$ of dimensions $m\times n$ and $n\times m$, respectively, the *rank principle* states that when $m = n+1$ and $A$ is a scalar matrix of rank $n+1$, the equation $XY = A$ is unsatisfiable. When $m$ is arbitrarily larger than $n$ and $A$ has ... more >>>



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