A Grover-Based Quantum Algorithm for Solving Perfect Mazes via Fitness-Guided Search

Fuente: arXiv
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Autor principal: Wu, Michelle L.
Formato: Preprint
Publicado: 2025
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author Wu, Michelle L.
author_facet Wu, Michelle L.
contents We present a quantum algorithm for solving perfect mazes by casting the pathfinding task as a structured search problem. Building on Grover's amplitude amplification, the algorithm encodes all candidate paths in superposition and evaluates their proximity to the goal using a reversible fitness operator based on quantum arithmetic. A Grover-compatible oracle marks high-fitness states, and an adaptive cutoff strategy refines the search iteratively. We provide formal definitions, unitary constructions, and convergence guarantees, along with a resource analysis showing efficient scaling with maze size and path length. The framework serves as a foundation for quantum-hybrid pathfinding and planning. The full algorithmic pipeline is specified from encoding to amplification, including oracle design and fitness evaluation. The approach is readily extensible to other search domains, including navigation over tree-like or acyclic graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21937
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Grover-Based Quantum Algorithm for Solving Perfect Mazes via Fitness-Guided Search
Wu, Michelle L.
Quantum Physics
Emerging Technologies
Quantum Algebra
81P68, 68Q12
F.1.2; F.2.2; I.2.8
We present a quantum algorithm for solving perfect mazes by casting the pathfinding task as a structured search problem. Building on Grover's amplitude amplification, the algorithm encodes all candidate paths in superposition and evaluates their proximity to the goal using a reversible fitness operator based on quantum arithmetic. A Grover-compatible oracle marks high-fitness states, and an adaptive cutoff strategy refines the search iteratively. We provide formal definitions, unitary constructions, and convergence guarantees, along with a resource analysis showing efficient scaling with maze size and path length. The framework serves as a foundation for quantum-hybrid pathfinding and planning. The full algorithmic pipeline is specified from encoding to amplification, including oracle design and fitness evaluation. The approach is readily extensible to other search domains, including navigation over tree-like or acyclic graphs.
title A Grover-Based Quantum Algorithm for Solving Perfect Mazes via Fitness-Guided Search
topic Quantum Physics
Emerging Technologies
Quantum Algebra
81P68, 68Q12
F.1.2; F.2.2; I.2.8
url https://arxiv.org/abs/2507.21937