Probability Space and Quantum Entanglement Fusion Algorithm

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper investigates the integration of probability spaces and quantum entanglement to develop a novel fusion algorithm. The core claim is that this algorithm leverages the unique properties of quantum entanglement to enhance probability space operations, thereby facilitating the expansion and optimization of quantum computation. Traditional quantum computing primarily utilizes qubits, but incorporating probability spaces and entanglement opens new avenues for computational exploration. This research explores a proposed algorithm that combines the inherent probabilistic nature of probability spaces with the correlated states of quantum entanglement, aiming to improve computational efficiency and broaden the applicability of quantum computation. The paper details the fundamental concepts, proposes a mechanism for entanglement utilization, and outlines the potential benefits and challenges of this approach.

DOI: 10.5281/zenodo.22303290

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