基于自适应拓扑的量子态量子化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum state quantumization method based on adaptive topology. Traditional quantum computing relies on complex quantum circuits, while topology offers a more intrinsic and physical description. We propose a new approach that leverages adaptive algorithms to dynamically adjust the encoding and manipulation of quantum states, enabling precise control and quantum state quantization. The core mechanism centers around utilizing topological structures to guide and refine the quantum state, ultimately improving the fidelity and controllability of quantum computations. This work addresses a fundamental challenge in quantum information processing by providing a fundamentally different approach to state representation and manipulation.

DOI: 10.5281/zenodo.22202030

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