Quantum State Nonlinear Topology Transformation and the Combination with Quantum Computing

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum state non-linear topology transformations offer a novel approach to manipulating and optimizing quantum systems, potentially unlocking significant advancements in quantum computation. This paper explores the application of such transformations to quantum computing, focusing on the integration of topological structure with optimization algorithms. We present a theoretical framework for leveraging topological properties to guide the evolution of quantum states during optimization, aiming to enhance the performance and capabilities of quantum algorithms. The core claim centers on the synergistic effect of these transformations and optimization, leading to improved efficiency and scalability. This work investigates the potential benefits of such a hybrid approach and provides a preliminary analysis of its feasibility.

DOI: 10.5281/zenodo.22289272

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