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Quantum-Enhanced Topological Search for Novel Algorithms

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of quantum-enhanced topological search to accelerate algorithm discovery. The core claim centers on leveraging quantum entanglement to uncover novel algorithms and patterns inherent in topological data structures. Traditional search algorithms often struggle with the inherent complexity of the search space, particularly when dealing with topological spaces. Quantum mechanics offers a novel approach to overcome these limitations by enabling exploration of vast spaces and facilitating the identification of subtle connections crucial for algorithm design. This work presents a theoretical framework and preliminary exploration of such a quantum-assisted search algorithm, emphasizing the potential for generating novel and unexpected algorithms.

DOI
10.5281/zenodo.22635409

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This paper explores the potential of quantum-enhanced topological search to accelerate algorithm discovery. The core claim centers on leveraging quantum entanglement to uncover novel algorithms and patterns inherent in topological data structures. Traditional search algorithms often struggle with the inherent complexity of the search space, particularly when dealing with topological spaces. Quantum mechanics offers a novel approach to overcome these limitations by enabling exploration of vast spaces and facilitating the identification of subtle connections crucial for algorithm design. This work presents a theoretical framework and preliminary exploration of such a quantum-assisted search algorithm, emphasizing the potential for generating novel and unexpected algorithms.
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