Quantum Adaptive Self-Assembly Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel quantum adaptive self-assembly algorithm designed to generate complex structures with enhanced computational efficiency. Traditional approaches to self-assembly rely heavily on manual design, limiting the creation of intricate geometries. This algorithm leverages quantum self-adaptability to automatically tune assembly parameters, offering a significant improvement in structural design and execution speed. The core mechanism centers around a quantum optimization loop that iteratively adjusts parameters to achieve optimal structural configurations. This work addresses the limitations of existing techniques by providing a fundamentally new approach that utilizes quantum mechanics to streamline the self-assembly process.

DOI: 10.5281/zenodo.22195645

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