Probability and Quantum Computing Synergy

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential for a synergistic approach between probability logic and quantum computing. The core idea is to leverage the inherent randomness and precision of probability logic engines to guide quantum computations, effectively augmenting the capabilities of quantum simulations. This research addresses the limitations of traditional quantum computing by integrating probabilistic modeling with quantum mechanics. We propose a novel framework that utilizes a dedicated probability logic engine to influence quantum algorithm execution and enhance the predictive power of subsequent quantum simulations. The resulting system promises to significantly improve the efficiency and effectiveness of solving complex mathematical problems. This work presents a detailed design of a quantum computing platform leveraging this synergistic approach.

DOI: 10.5281/zenodo.22192442

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