Quantum Entanglement Computing for Adaptive Quantum State Mapping

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum entanglement computing offers a fundamentally different approach to computation, promising significant advancements in security and efficiency. This paper investigates a novel method, Adaptive Quantum State Mapping (AQS), for enhancing the security of quantum computation by intelligently mapping quantum states. The core of AQS lies in leveraging the inherent properties of quantum entanglement to embed information within the states, thereby bolstering the system's resistance to attacks. We demonstrate that this approach significantly reduces computational complexity while maintaining or even enhancing the security of quantum algorithms. The paper presents a detailed analysis of the AQS algorithm, including its mathematical underpinnings and its performance evaluation against established techniques. We conclude with a discussion of potential applications and future research directions.

DOI: 10.5281/zenodo.22266172

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