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Title: Topological Quantum Field Theory for Unconstrained Complexity

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper explores the potential of Topological Quantum Field Theory (TQFT) for representing and manipulating quantum states with dynamic, continuous evolution. Traditional approaches often rely on mapping quantum states to classical fields, which can be cumbersome and limited in their ability to capture complex phenomena. We propose a novel framework centered around a 'topological state vector', dynamically updating this vector through a series of interwoven, non-local operations to represent the evolving quantum field. This approach eliminates the need for explicit mapping, offering a fundamentally different and potentially more powerful methodology for constructing topological quantum field theories. This work aims to demonstrate the feasibility and advantages of this new approach in exploring complex quantum systems and computational paradigms.

DOI
10.5281/zenodo.22185163

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This paper explores the potential of Topological Quantum Field Theory (TQFT) for representing and manipulating quantum states with dynamic, continuous evolution. Traditional approaches often rely on mapping quantum states to classical fields, which can be cumbersome and limited in their ability to capture complex phenomena. We propose a novel framework centered around a 'topological state vector', dynamically updating this vector through a series of interwoven, non-local operations to represent the evolving quantum field. This approach eliminates the need for explicit mapping, offering a fundamentally different and potentially more powerful methodology for constructing topological quantum field theories. This work aims to demonstrate the feasibility and advantages of this new approach in exploring complex quantum systems and computational paradigms.
This paper explores a novel framework for constructing and manipulating topological field theories, aiming to unlock the creation of complex, dynamically evolving quantum states through intrinsic symmetry. We propose a dynamically adjusted 'topological metric' that adapts to the underlying field's structure, enabling self-organization and emergent properties. The core mechanism involves quantifying and manipulating the field's topology through a continuous, adaptive process, fundamentally shifting the landscape of quantum behavior. This approach addresses limitations of existing methods by offering a pathway towards generating novel quantum states with unprecedented control and potential for complex dynamics. The theoretical groundwork is built upon the principles of topological quantum field theory and explores the design of a metric that embodies this dynamic adjustment. We present preliminary results demonstrating the effectiveness of this framework in generating specific topological states, highlighting its potential for advanced quantum simulation and the creation of fundamentally new quantum phenomena.
Abstract: Topological Quantum Field Theory (TQFT) offers a promising avenue for exploring novel quantum phenomena beyond the limitations of traditional approaches. This paper introduces a novel topological quantum field theory framework, "Dynamic Topology," that dynamically adapts constraint propagation across complex spacetime geometries. We propose a new algorithm that iteratively constructs and refines a topological structure, enabling the creation of fundamentally new quantum phenomena. The core mechanism centers on a 'Dynamic Topology' algorithm that continuously adjusts constraints to maintain a stable, high-dimensional topological landscape. This approach contrasts with traditional static constraint application, potentially unlocking entirely new physics by leveraging the inherent topological properties of space. We analyze the algorithm's performance through simulations and present preliminary results demonstrating the framework's ability to generate unusual topological states.
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