Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm

Fuente: arXiv
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Autori principali: Zhang, Kun, Chen, Kang-Yuan, Wang, Xiao-Hui, Korepin, Vladimir
Natura: Preprint
Pubblicazione: 2026
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author Zhang, Kun
Chen, Kang-Yuan
Wang, Xiao-Hui
Korepin, Vladimir
author_facet Zhang, Kun
Chen, Kang-Yuan
Wang, Xiao-Hui
Korepin, Vladimir
contents Grover's algorithm is a cornerstone of quantum algorithms and is strictly optimal in oracle-query complexity. While the full search problem admits no further improvement, one may trade accuracy for speed in the partial search problem, where the task is to identify only the block containing the target item. The best known quantum algorithm for the partial search problem is the Grover-Radhakrishnan-Korepin (GRK) algorithm, whose optimality has long been conjectured but not proved. In this work, we prove the optimality of GRK in the large-block limit. We formulate partial search as a time-optimal control problem and apply the Pontryagin maximum principle to derive the switching-function dynamics, establish the bang-bang structure of regular extremals, and exclude non-optimal switching patterns. As a result, we show that the optimal regular extremal has the global-local-global form, which yields a control-theoretic proof of the asymptotic optimality of the GRK algorithm in oracle-query complexity.
format Preprint
id arxiv_https___arxiv_org_abs_2604_15886
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm
Zhang, Kun
Chen, Kang-Yuan
Wang, Xiao-Hui
Korepin, Vladimir
Quantum Physics
Grover's algorithm is a cornerstone of quantum algorithms and is strictly optimal in oracle-query complexity. While the full search problem admits no further improvement, one may trade accuracy for speed in the partial search problem, where the task is to identify only the block containing the target item. The best known quantum algorithm for the partial search problem is the Grover-Radhakrishnan-Korepin (GRK) algorithm, whose optimality has long been conjectured but not proved. In this work, we prove the optimality of GRK in the large-block limit. We formulate partial search as a time-optimal control problem and apply the Pontryagin maximum principle to derive the switching-function dynamics, establish the bang-bang structure of regular extremals, and exclude non-optimal switching patterns. As a result, we show that the optimal regular extremal has the global-local-global form, which yields a control-theoretic proof of the asymptotic optimality of the GRK algorithm in oracle-query complexity.
title Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm
topic Quantum Physics
url https://arxiv.org/abs/2604.15886