Adaptive Quantum Algorithm-Based Turing Machine Design

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper presents a novel approach to Turing machine design leveraging the unique properties of quantum algorithms. We propose a method for automatically generating suitable quantum circuits, optimized for specific problem instances, using a dynamically adaptive quantum algorithm. The core mechanism involves utilizing quantum algorithms to dynamically adjust circuit parameters, resulting in significantly improved simulation efficiency for complex problems. We detail the design process, highlighting the advantages of this approach compared to traditional methods. The paper explores the potential of this technique for tackling a range of computationally challenging tasks, demonstrating its ability to achieve substantial performance gains in simulation scenarios.

DOI: 10.5281/zenodo.22446450

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