Probability and Quantum Computing: A Fusion Based on Quantum Entanglement for Non-linear Computation

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper explores the potential of integrating probability logic with quantum entanglement to develop novel computational models. We propose a quantum probabilistic logic framework leveraging the unique properties of quantum entanglement to emulate complex system dynamics. The core mechanism involves combining the probabilistic nature of logic with the correlated states inherent in entanglement, thereby enhancing computational efficiency. The study focuses on establishing a model capable of simulating non-linear behaviors in complex systems. This research addresses a gap in current quantum computing paradigms by moving beyond traditional quantum algorithms and adopting a probabilistic approach grounded in quantum mechanics. The goal is to demonstrate the feasibility and potential of this integrated model for tackling computationally intensive problems. This work presents a theoretical framework and outlines a preliminary implementation approach.

DOI: 10.5281/zenodo.22326040

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