Quantum Entanglement Probability Simulation and Computation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, presents unique challenges for computational systems. Traditional probabilistic methods often struggle to accurately model complex quantum systems, leading to computational bottlenecks. This paper explores the development of a novel probability-based quantum simulation technique leveraging entanglement, aiming to enhance quantum computation and communication through improved accuracy and efficiency. We introduce a new quantum state representation incorporating entanglement, utilizing a probabilistic model to simulate quantum behavior, and propose a novel quantum algorithm based on this approach. This research aims to address the limitations of existing simulation methods and unlock the full potential of quantum systems.

DOI: 10.5281/zenodo.22195669

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