Quantum-Enhanced Probability Distribution for Monte Carlo Simulations

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum-enhanced probability distribution is a novel approach to accelerating Monte Carlo simulations by exploiting quantum mechanics, specifically superposition and entanglement. Traditional Monte Carlo methods are computationally intensive, particularly for large-scale simulations, and this work proposes a method that utilizes these quantum phenomena to dramatically reduce computational burden. This paper details the core mechanism, discusses the theoretical underpinnings, and presents preliminary results demonstrating the effectiveness of this approach.

DOI: 10.5281/zenodo.22251906

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