Probability Logic and Quantum Computing: A Unified Computational Model

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the integration of probability logic and quantum computing to develop a novel computational model. We propose a framework that leverages quantum entanglement and quantum masking to enhance probabilistic reasoning and simulation capabilities. The core mechanism centers on combining the inherent uncertainty of probability logic with the superposition and entanglement properties of quantum computation. This model aims to provide a comprehensive computational engine capable of tackling complex probability problems and simulating quantum systems, facilitating quantum algorithm optimization and performance prediction. The study highlights the potential of this integrated approach to advance computational power and explore novel applications within the field of quantum information science.

DOI: 10.5281/zenodo.22186387

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