基于自适应的量子几何变换

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum Geometry, a novel approach to manipulating quantum states, promises to revolutionize quantum information processing. This paper explores a sophisticated algorithm, leveraging quantum entanglement and geometric transformations, designed to enhance quantum information encoding and decoding. We present a framework that dynamically adjusts geometric parameters to optimize entanglement fidelity and decoding speed. The core mechanism focuses on leveraging entanglement as a bridge for efficient data transfer, utilizing geometric transformations to manipulate the state space. The proposed algorithm demonstrates significant improvements in key quantum information metrics, highlighting its potential for accelerating quantum computation and expanding the capabilities of quantum information processing. This work contributes to the burgeoning field of quantum geometry, offering a practical pathway towards increased computational efficiency.

DOI: 10.5281/zenodo.22155417

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