基于量子纠缠的参数优化

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a fundamental phenomenon in quantum mechanics, exhibits instantaneous correlations between particles, regardless of distance. This unique property has garnered significant attention for its potential applications across various fields, including optimization. This paper explores the utilization of quantum entanglement to design a novel parameter optimization algorithm, leveraging the instantaneous correlations to dynamically adjust and optimize complex system parameters. The core mechanism hinges on employing quantum algorithms to achieve precise parameter adjustments through the subtle influence of entangled states. We present a preliminary investigation demonstrating the feasibility of this approach, highlighting its potential to overcome limitations of traditional parameter optimization techniques. The core claim focuses on the ability to dynamically adjust complex system parameters using quantum entanglement.

DOI: 10.5281/zenodo.22193204

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