The table maker's quantum search

Fuente: arXiv
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Main Author: Kourtis, Stefanos
Format: Preprint
Published: 2026
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author Kourtis, Stefanos
author_facet Kourtis, Stefanos
contents We show that quantum search can be used to compute the hardness to round an elementary function, that is, to determine the minimum working precision required to compute the values of an elementary function correctly rounded to a target precision of $n$ digits for all possible precision-$n$ floating-point inputs in a given interval. For elementary functions $f$ related to the exponential function, quantum search takes time $\tilde O(2^{n/2} \log (1/δ))$ to return, with probability $1-δ$, the hardness to round $f$ over all $n$-bit floating-point inputs in a given binade. For periodic elementary functions in large binades, standalone quantum search yields an asymptotic speedup over the best known classical algorithms and heuristics.
format Preprint
id arxiv_https___arxiv_org_abs_2601_13306
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The table maker's quantum search
Kourtis, Stefanos
Quantum Physics
Numerical Analysis
We show that quantum search can be used to compute the hardness to round an elementary function, that is, to determine the minimum working precision required to compute the values of an elementary function correctly rounded to a target precision of $n$ digits for all possible precision-$n$ floating-point inputs in a given interval. For elementary functions $f$ related to the exponential function, quantum search takes time $\tilde O(2^{n/2} \log (1/δ))$ to return, with probability $1-δ$, the hardness to round $f$ over all $n$-bit floating-point inputs in a given binade. For periodic elementary functions in large binades, standalone quantum search yields an asymptotic speedup over the best known classical algorithms and heuristics.
title The table maker's quantum search
topic Quantum Physics
Numerical Analysis
url https://arxiv.org/abs/2601.13306