Adaptive Quantum Entanglement Algorithm for Enhanced Computation

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum computing holds immense potential for breakthroughs across various fields, but the inherent complexities of quantum systems often limit the scalability and computational speed. This paper presents an innovative quantum algorithm, the Adaptive Quantum Entanglement Algorithm (AQEA), designed to address these limitations by dynamically adjusting the entangled state of qubits. The AQEA leverages a novel mechanism for continuous state optimization, aiming to significantly improve both the efficiency and accuracy of quantum computations, particularly in scenarios demanding complex calculations. This research explores the theoretical foundations of the algorithm, details its implementation and performance evaluation, and highlights the key advantages over existing approaches. The core claim is that the AQEA, through its dynamic state adjustment, can surpass current quantum algorithms in several crucial metrics, offering a pathway towards practical quantum solutions.

DOI: 10.5281/zenodo.22318757

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