Adaptive Quantum Algorithm based on Quantum Entanglement

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel adaptive quantum algorithm based on quantum entanglement, designed to dynamically adjust computation strategies based on the quantum system's entanglement properties. Traditional quantum algorithms often require manual design and optimization, limiting their potential for improved efficiency and accuracy. This research explores the utilization of quantum entanglement to create an algorithm that automatically adjusts its approach based on the strength and characteristics of entangled qubits. The core mechanism involves a framework for quantifying entanglement and leveraging this information to guide the execution of quantum computations. We demonstrate the algorithm's efficacy through simulations and preliminary experiments, showcasing a significant improvement in algorithm performance compared to traditional approaches, particularly in complex scenarios involving high entanglement levels. The presented work introduces a method for intelligent parameter tuning, allowing for enhanced optimization within the quantum system's inherent quantum properties.

DOI: 10.5281/zenodo.22204197

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