Quantum Information Architecture Dynamic Topology Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum information architecture (QIA) represents a paradigm shift in computational systems, offering unprecedented capabilities for data processing and quantum computation. Traditional optimization techniques often struggle to effectively adapt to the intricate and dynamic nature of QIA. This paper introduces a novel dynamic topology optimization algorithm designed specifically for QIA, leveraging the inherent properties of quantum information architectures to automatically adjust circuit configurations, leading to enhanced efficiency and adaptability. The core mechanism centers on employing quantum state transformations to dynamically reshape the qubit network, optimizing for specific computational objectives. This approach surpasses conventional methods by offering a level of automation and self-optimization not previously achievable, promising significant advancements in the design and implementation of quantum algorithms. We present a detailed analysis of the algorithm's performance and demonstrate its effectiveness through simulations and preliminary experiments.

DOI: 10.5281/zenodo.22489262

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