Quantum Self-Organizing Computation Architecture

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper introduces a novel quantum self-organizing computation architecture designed to dynamically adjust computational processes based on real-time data. Traditional quantum computing architectures often struggle to adapt to changing data, hindering their ability to efficiently solve complex problems. This work proposes a system that utilizes a dynamic, adaptive algorithm to optimize computational resources and minimize errors, leading to a robust and adaptable system suitable for a wide range of applications. We present a detailed design of this architecture, including the core mechanism and potential implementation considerations. The paper explores the benefits of this approach over traditional methods and highlights the potential for significant advancements in quantum computation.

DOI: 10.5281/zenodo.22249562

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