基于混沌的量子态的自适应几何变换

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the application of chaos theory to quantum state transformations, aiming to enhance the efficiency of quantum computation. The core idea is to develop an adaptive geometric transformation algorithm driven by chaotic systems, dynamically reshaping quantum states to optimize performance. We present a novel approach that leverages the inherent properties of chaos to improve the trajectory of quantum states, offering a potential advancement over traditional geometric techniques. The paper details the algorithm's underlying principles, explores the potential benefits, and discusses future research directions.

DOI: 10.5281/zenodo.22204774

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