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Non-Exchange Topological Quantum Computing Models

Jincheng Zhang

Published Sep 2, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of non-exchange topology in quantum computing, focusing on the design of a computational model leveraging quantum entanglement for topological calculations and simulation. We propose a novel approach utilizing entangled states to represent and manipulate topological structures, and subsequently develop quantum algorithms predicated on this framework. The core claim is that this model offers a fundamentally different approach to solving complex topological problems, potentially exceeding the capabilities of existing classical computational methods. This work investigates the implications of this new model for both computational and theoretical research within the field of quantum topology.

DOI
10.5281/zenodo.22251663

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Quantum entanglement, a cornerstone of quantum mechanics, presents unique challenges to traditional computational paradigms. This research explores a novel approach to leveraging the power of quantum entanglement through topological structures, proposing a quantum computing model predicated on the inherent properties of topology. The core claim centers on the development of a dynamically tunable topological framework for safeguarding and manipulating quantum entanglement, ultimately offering a potential pathway toward more robust and versatile quantum computation. This work introduces a novel quantum entanglement topology, utilizing its properties for information encoding and entanglement protection, and investigates its implications for quantum algorithm design and system stability. This research represents a significant departure from conventional quantum computing models, emphasizing the critical role of topology in shaping the behavior of entangled quantum states.
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Quantum entanglement forms the bedrock of quantum computing, offering unique capabilities for computation and communication. This paper investigates a novel non-asymmetric computation framework predicated on the manipulation of entangled states, aiming to unlock its potential for information encoding and processing. We propose a computational model centered around the exploitation of entanglement's inherent asymmetries, designing algorithms to leverage these properties for data manipulation and computation. Our work explores the theoretical implications of this approach, highlighting the potential for achieving significant advancements in quantum information processing. Specifically, this research investigates the feasibility of utilizing entangled states to perform complex calculations and offers a preliminary assessment of the framework's potential for quantum algorithms. The core claim is that this approach offers a distinct path toward quantum computing, leveraging the unique properties of entanglement.
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