自适应拓扑几何的自适应量子计算

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper introduces a novel quantum computing framework based on adaptive topology geometry, offering a dynamic and self-adaptive approach to quantum computation. The core principle of this framework utilizes the inherent changeability of topological structures to dynamically adjust quantum states, enabling quantum information encoding and decoding. We explore the potential of this approach to overcome limitations of traditional quantum algorithms, particularly in scenarios requiring rapid adaptation to changing data. This work presents a conceptual model for a quantum computing system that can adapt its operations based on the evolution of its underlying topology. The key innovation lies in the design of a self-organizing quantum state evolution driven by topological transformations. This enables a quantum system capable of adapting its state to evolving data, opening avenues for new quantum algorithms.

DOI: 10.5281/zenodo.22588697

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