基于自适应拓扑的量子态量子化与计算

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum state quantumization and computation framework based on adaptive topology. Traditional quantum computation relies heavily on manually tuned parameters, while topology offers a more flexible approach to constructing quantum states. We propose a self-adaptive algorithm that intelligently adjusts the encoding and manipulation of quantum states, leveraging the inherent structure of topology to achieve precise control and significantly enhance the efficiency of quantum computations. The core mechanism involves the continuous refinement of the quantum state through iterative adjustments guided by the topology, resulting in a robust and adaptable system capable of tackling complex problems. The advantages of this approach include enhanced controllability, improved error mitigation, and reduced computational complexity, paving the way for more practical and scalable quantum computing.

DOI: 10.5281/zenodo.22202125

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