Title: Quantum Entanglement-Based Adaptive Simulation Algorithm

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum entanglement, a peculiar quantum phenomenon, offers a unique pathway towards more accurate and efficient simulations of complex quantum systems and phenomena. This paper proposes a novel quantum entanglement-based adaptive simulation algorithm designed to overcome the limitations of traditional simulation methods by leveraging the inherent properties of entanglement. The algorithm employs a self-tuning mechanism that dynamically adjusts the computational effort based on the entanglement fidelity, optimizing for precision and efficiency. This work addresses the challenges of accurately modeling quantum systems, particularly those exhibiting intricate correlations, and introduces a promising approach for accelerating the simulation of complex quantum phenomena. The proposed algorithm demonstrates improved simulation accuracy and efficiency, offering a potential advancement in quantum simulation techniques.

DOI: 10.5281/zenodo.22493446

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