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Self-Improving Quantum Search: Using Grover's Algorithm to Discover Superior Algorithms

Year: 2026

Type: article

Abstract: We propose a framework for algorithmic self-improvement based on quantum search. The core idea is to use Grover’s algorithm to search the space of quantum algorithms for one that outperforms Grover itself. The discovered algorithm then searches for an even better algorithm, and so on. We formalize this recursive improvement process and analyze the conditions under which it converges to optimal query complexity.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18333326

Author: Aguilera Katayama, Kaoru

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7125399397

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