Title: Quantum Entanglement-Based Adaptive Probability Reasoning Algorithm

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel adaptive probability reasoning algorithm leveraging the unique properties of quantum entanglement. Traditional probabilistic reasoning methods often struggle with complex scenarios and require extensive computational resources. This algorithm utilizes entangled qubit states to facilitate a more efficient and accurate probability prediction process, potentially offering a significant advancement in computational capabilities. The core mechanism involves manipulating the quantum state to enhance the correlation between entangled qubits, enabling faster computations and improved predictive accuracy. The work explores the potential of this approach to address limitations in existing probabilistic reasoning techniques. We present a conceptual framework and initial experimental results demonstrating the feasibility of this algorithm. The paper concludes with a discussion of the challenges and future directions for this technology.

DOI: 10.5281/zenodo.22448388

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