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Adaptive Computational Paradigm Based on Quantum Entanglement

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper introduces a novel computational paradigm, termed the Adaptive Computational Paradigm based on Quantum Entanglement, that leverages the unique properties of quantum entanglement to achieve enhanced parallelism and distributed computation. Traditional computing paradigms often struggle to fully exploit the potential of entanglement for efficient calculations and reasoning. This research proposes a framework utilizing entangled states to significantly improve computational throughput and scalability. We detail the core mechanism, outlining the design of a quantum computation environment and the implementation of algorithms designed to exploit entanglement for faster processing. The paper concludes with a discussion of the potential advantages and challenges associated with this approach, emphasizing its promise for future advancements in computational science.

DOI
10.5281/zenodo.22200786

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