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Electronic Colloquium on Computational Complexity

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TR23-142 | 21st September 2023
Tom Gur, Wilfred Salmon, Sergii Strelchuk

Provable Advantage in Quantum PAC Learning

We revisit the problem of characterising the complexity of Quantum PAC learning, as introduced by Bshouty and Jackson [SIAM J. Comput.
1998, 28, 1136–1153]. Several quantum advantages have been demonstrated in this setting, however, none are generic: they apply to particular concept classes and typically only work when the distribution ... more >>>


TR23-141 | 19th September 2023
Nader Bshouty, Gergely Harcos

A Tight Lower Bound of $\Omega(\log n)$ for the Estimation of the Number of Defective Items

Let $X$ be a set of items of size $n$ , which may contain some defective items denoted by $I$, where $I \subseteq X$. In group testing, a {\it test} refers to a subset of items $Q \subset X$. The test outcome is $1$ (positive) if $Q$ contains at least ... more >>>


TR23-140 | 20th September 2023
Eshan Chattopadhyay, Jesse Goodman, Mohit Gurumukhani

Extractors for Polynomial Sources over $\mathbb{F}_2$

We explicitly construct the first nontrivial extractors for degree $d \ge 2$ polynomial sources over $\mathbb{F}_2^n$. Our extractor requires min-entropy $k\geq n - \frac{\sqrt{\log n}}{(d\log \log n)^{d/2}}$. Previously, no constructions were known, even for min-entropy $k\geq n-1$. A key ingredient in our construction is an input reduction lemma, which allows ... more >>>



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