Quantum Information Domain: Probability Structure Modeling

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum information is increasingly crucial for various technological advancements, including quantum computing and quantum communication. Reliable and accurate modeling of complex quantum systems is essential for understanding and controlling their behavior. This paper explores the application of probability structure modeling based on quantum entanglement to address this challenge. We propose a novel method leveraging the unique properties of quantum entanglement to represent probability distributions, enabling more precise predictions of quantum state evolution. The core mechanism involves converting probability distributions into quantum states through entanglement, and subsequently utilizing quantum computation for enhanced probability calculations and simulations. This research aims to provide a new approach to quantum information modeling, offering improved accuracy and efficiency compared to traditional methods.

DOI: 10.5281/zenodo.22472680

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