基于动态拓扑的量子计算推理引擎

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum computation offers the potential for exponentially faster computations compared to classical computing, but the development of complex quantum algorithms remains a significant challenge. This paper introduces a novel quantum computation reasoning engine based on dynamic topology, aiming to automate the generation of quantum algorithms through a sophisticated, self-organizing structure. We propose a framework leveraging the inherent topological properties of quantum systems to guide the reasoning process. This engine will intelligently explore potential quantum states and move towards optimal solutions, significantly streamlining the quantum algorithm design process. The core mechanism centers around constructing and manipulating the quantum system using dynamically evolving topology, promoting efficient and novel exploration of the solution space. This research presents a new approach to quantum computation reasoning, potentially revolutionizing the field by reducing the need for manual algorithm design and facilitating the discovery of new quantum solutions.

DOI: 10.5281/zenodo.22292837

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