自适应量子态的自组装算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel self-assembly algorithm based on adaptive quantum state manipulation. Traditional self-assembly methods often rely on fixed parameters, limiting the potential for efficient quantum computation. Our algorithm dynamically adjusts quantum state parameters to promote self-organization, leading to enhanced quantum coherence and ultimately, improved quantum processing capabilities. This approach overcomes limitations of static approaches and offers a pathway towards more robust and scalable quantum systems. We present a theoretical framework detailing the algorithm's core mechanisms, showcasing its potential for achieving significant efficiency gains in quantum state manipulation. This work contributes to the ongoing advancement of quantum information processing through the exploration of adaptive self-assembly techniques.

DOI: 10.5281/zenodo.22198329

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