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Electronic Colloquium on Computational Complexity

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TR26-296 | 4th November 2026
Kenny Chen

Exponential Quantum Advantage in Testing Fourier Dimensionality

A boolean function $f$ has Fourier dimension $k$ if its strings with nonzero Fourier coefficients span a subspace of dimension $k$. We first consider the property testing task of determining whether a function has Fourier dimension at most $k$, or is $\epsilon$-far from being so. We show that there is ... more >>>


TR26-295 | 3rd November 2026
Shubhangi Saraf, Devansh Shringi

Fast Algorithms for Low Rank Tensor Decomposition

We give fast algorithms for low-rank tensor decomposition.
Over $\mathbb R$ and $\mathbb C$ we give a deterministic algorithm that takes as input an order-$d$, width-$n$, rank-$k$ tensor, gets measurement access to the tensor, runs in time
$k^{O(k^2)}\cdot \mathrm{poly}(n,d)$, and finds a minimal decomposition as a sum of rank-one ... more >>>


TR26-294 | 3rd November 2026
Robert Andrews, Abhibhav Garg, Rafael Mendes de Oliveira, Éric Schost

Some algebraic and geometric computations in CH via Chow forms

The problem of decomposing an algebraic variety into more structured components (such as equidimensional, irreducible, or connected components) is a fundamental problem in computer algebra and algebraic geometry. In this work, we study the computational complexity of computing equidimensional components of algebraic varieties, represented via Chow forms.

We improve the ... more >>>



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