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Quantum Optimization
Monte Carlo to Las Vegas for Recursively Composed Functions
arXiv
Authors: Bandar Al-Dhalaan, Shalev Ben-David
Year
2026
Paper ID
3924
Status
Preprint
Abstract Read
~2 min
Abstract Words
156
Citations
N/A
Abstract
For a (possibly partial) Boolean function fcolon\{0,1\}n→\{0,1\} as well as a query complexity measure M which maps Boolean functions to real numbers, define the composition limit of M on f by M^*(f)=limk→infty M\(fk\)1/k. We study the composition limits of general measures in query complexity. We show this limit converges under reasonable assumptions about the measure. We then give a surprising result regarding the composition limit of randomized query complexity: we show R0^*(f)=max\{R^*(f),C^*(f)\}. Among other things, this implies that any bounded-error randomized algorithm for recursive 3-majority can be turned into a zero-error randomized algorithm for the same task. Our result extends also to quantum algorithms: on recursively composed functions, a bounded-error quantum algorithm can be converted into a quantum algorithm that finds a certificate with high probability. Along the way, we prove various combinatorial properties of measures and composition limits.
Why This Paper Matters
- This paper contributes to the Quantum Optimization research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- For a (possibly partial) Boolean function fcolon0,1^n -> 0,1 as well as a query complexity measure M which maps Boolean functions to real numbers, define the composition limit...
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