Quantum Entanglement Computation: An Adaptive Quantum Algorithm

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, holds immense potential for revolutionizing computation. This paper explores the development of a novel quantum algorithm, "Quantum Entanglement Computation," designed to exploit this phenomenon for enhanced quantum computation. The core of this algorithm lies in the introduction of a "Quantum State Adaptation" mechanism, which dynamically adjusts quantum gate parameters based on the inherent evolution of the quantum state. This adaptive approach contrasts with traditional algorithms, which rely on static parameter settings, offering a pathway towards significantly improved computational efficiency. We detail the mechanism, its theoretical underpinnings, and preliminary experimental validation demonstrating its efficacy. The paper concludes with a discussion of future research directions and the potential impact of this adaptive quantum algorithm on the field of quantum computing.

DOI: 10.5281/zenodo.22637915

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