Dynamic Probability Distribution Generation and Quantum Computing Integration

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper explores the integration of dynamic probability distribution generation with quantum computing to achieve unprecedented precision in generating complex Gaussian distributions. Traditional methods often struggle with high-dimensional distributions, limiting their applicability. We propose a novel approach that leverages quantum computing for precise calculations within the generation process, significantly improving the accuracy and computational efficiency of the resulting probability distributions. This work addresses the limitations of existing techniques by presenting a robust and scalable framework for generating high-fidelity Gaussian distributions utilizing quantum computation.

DOI: 10.5281/zenodo.22298978

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