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Quantum Complexity Reduction through Entanglement

Jincheng Zhang

Published Aug 29, 2026• 0 citations
Publisher

Abstract

Quantum Complexity Reduction (QCR) is a burgeoning field of research exploring the use of quantum mechanics to accelerate computation. This paper investigates a novel method for QCR, predicated on the principle of utilizing entanglement to achieve efficient solution finding for complex systems. We propose a framework centered around strategically entangled computational steps, leveraging entanglement to identify and manipulate solutions more rapidly than classical methods. The core mechanism relies on the inherent correlations within entangled states, allowing for targeted exploration of the solution space and ultimately, efficient computation. The potential implications of this approach extend beyond simply accelerating existing algorithms, potentially opening the door to entirely new computation paradigms. This work presents a preliminary framework for QCR, detailing the proposed entanglement scheme and preliminary results demonstrating potential for enhanced solution finding.

DOI
10.5281/zenodo.22153435

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