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Quantum Entanglement Computation Framework: Adaptive Geometry

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers the potential for transformative computational capabilities. This paper explores the design of a novel quantum computation framework, "Adaptive Geometry," centered around the manipulation of entangled states. This framework aims to dynamically adjust entanglement parameters, effectively enhancing quantum computation through a self-adaptive approach. The core mechanism involves leveraging the strength and path of entanglement to modulate its properties, fostering a more versatile and powerful computational landscape. We present a conceptual design and preliminary analysis of this framework, highlighting its potential to broaden the scope of quantum computation beyond existing algorithmic approaches.

DOI
10.5281/zenodo.22203535

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This paper introduces Adaptive Topological Geometry, a novel framework that leverages quantum entanglement to construct and manipulate topological spaces. The core mechanism centers around establishing a dynamic, self-adjusting topology, achieved through controlled entanglement of quantum states. This approach promises unprecedented precision in geometric transformations and offers a fundamentally different perspective on computational geometry. We explore the potential of this method to overcome limitations of traditional techniques in complex geometric modeling and exploration. The paper presents a conceptual overview of the system, detailing the core claim, mechanism, and potential applications.
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