Adaptive Topology Design via Quantum State

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum state is a fundamental resource in modern physics and computation, offering unprecedented control over information processing. This paper investigates the potential of utilizing quantum states to design adaptive topologies, a novel approach to data transmission and computation. We propose a framework predicated on dynamically adjusting the topology of a quantum state based on input data. This framework aims to surpass the limitations of traditional topology methods by enabling highly precise calculations and data transfer, driven by the inherent properties of quantum mechanics. The core mechanism involves manipulating the quantum state to induce topological changes, offering a pathway to enhanced computational capabilities. This research explores the theoretical foundations and potential applications of this approach, emphasizing its ability to overcome the constraints of static topology models.

DOI: 10.5281/zenodo.22246914

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