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Quantum Entanglement as a Logical Computation Model

Jincheng Zhang

Published Sep 7, 2026• 0 citations
Publisher

Abstract

Quantum entanglement, a perplexing phenomenon where two or more particles become linked in such a way that they share the same fate, presents a tantalizing prospect for advanced computation. This paper explores the potential of utilizing quantum entanglement to construct a logical computation model, leveraging its unique properties for parallel processing and complex operations. We propose a novel quantum algorithm predicated on this model, aiming to revolutionize traditional computational approaches. The core of this work lies in a detailed architectural design of the entanglement-based logic engine, outlining the fundamental operations and potential applications. The study critically examines the theoretical implications of this approach, focusing on the advantages over existing quantum computing paradigms. We propose a new approach to quantum algorithm development based on entanglement as the foundation.

DOI
10.5281/zenodo.22636943

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This paper explores a novel computational framework based on quantum entanglement, aiming to revolutionize logical reasoning and computation. Traditional logical computation relies on classical logic gates, but this research leverages the unique properties of quantum entanglement to establish a fundamentally different approach. We propose a system that utilizes entangled states to perform quantum logic operations, offering a potential paradigm shift for quantum computing. The core mechanism involves designing a quantum logic algorithm predicated on entanglement, exploring its implications for the advancement of quantum computation. The paper presents a conceptual outline, detailing the design process and potential applications. We argue that this approach presents a significant advancement in computational modeling, potentially unlocking new capabilities within the field of quantum information processing.
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