aiqbench analysis
This paper provides a rigorous control-theoretic proof establishing the asymptotic optimality of the Grover-Radhakrishnan-Korepin algorithm for partial search problems in quantum computing. By applying Pontryagin's maximum principle, the authors demonstrate that no faster oracle-query complexity exists within this regime, confirming long-standing conjectures about the GRK protocol's efficiency limits. This result solidifies foundational bounds on how quickly a quantum computer can identify specific data blocks without full state reconstruction.
Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm
arXiv:2604.15886v2 Announce Type: replace Abstract: 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.
Abstract: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.
arXiv:2604.15886 [quant-ph]
(or arXiv:2604.15886v2 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2604.15886 Focus to learn more arXiv-issued DOI via DataCite
J. Phys. A: Math. Theor. 59, 315301 (2026)
https://doi.org/10.1088/1751-8121/ae8f8d Focus to learn more DOI(s) linking to related resources
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