Asymptotic optimality of Grover-Radhakrishnan-Korepin algorithm
Pith reviewed 2026-05-10 08:51 UTC · model grok-4.3
The pith
The GRK algorithm is asymptotically optimal for partial quantum search in the large-block limit, proven via a control-theoretic analysis using the Pontryagin maximum principle.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
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.
Load-bearing premise
The partial search problem can be accurately formulated as a time-optimal control problem to which the Pontryagin maximum principle applies directly, and that analysis in the large-block limit suffices to establish asymptotic optimality.
read the original 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.
Editorial analysis
A structured set of objections, weighed in public.
Circularity Check
No circularity: standard PMP applied to independent control formulation
full rationale
The derivation formulates partial search as a time-optimal control problem and invokes the Pontryagin maximum principle (an external theorem) to analyze regular extremals and derive the global-local-global structure. No step reduces a claimed result to a fitted parameter, self-definition, or load-bearing self-citation whose validity is presupposed by the present work. The large-block limit and bang-bang analysis for regular controls are obtained from the PMP switching-function dynamics without circular reduction to the GRK algorithm itself. The paper remains self-contained against external benchmarks (PMP and control theory) and does not rename known results or smuggle ansatzes via citation.
Axiom & Free-Parameter Ledger
axioms (2)
- domain assumption The quantum partial search dynamics can be modeled as a controlled quantum system suitable for time-optimal control analysis.
- standard math Pontryagin's maximum principle applies to derive the switching-function dynamics and bang-bang structure for regular extremals.
Reference graph
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