基于量子态的概率模型构建

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the utilization of quantum state properties to construct a probabilistic model for quantum system evolution and states. Traditional probabilistic models often rely on classical probability distributions, but this work proposes a novel approach leveraging quantum superposition and entanglement to achieve a more precise description of quantum systems and potentially unlock significant advantages within the field of quantum computing. The core of this research lies in the design of a probabilistic model predicated on the unique characteristics of quantum states, offering a potential pathway toward enhanced accuracy and a fundamentally different perspective on quantum system dynamics. The paper presents the model's structure, underlying principles, and potential applications, emphasizing the significance of quantum states in shaping the probabilistic landscape of quantum systems.

DOI: 10.5281/zenodo.22205717

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