Quantum-Inspired Sampling of Complex Distributions (QISCD)
Jincheng Zhang
Abstract
Quantum-Inspired Sampling of Complex Distributions (QISCD) presents a novel approach to sampling complex probability distributions, aiming to significantly enhance the likelihood of discovering rare events. Leveraging the principles of quantum mechanics, this algorithm introduces a unique mechanism for efficient distribution exploration. The core claim is that QISCD will outperform existing sampling methods by dramatically increasing the probability of finding rare events. This paper details the theoretical foundation, the algorithmic implementation, and preliminary experimental results demonstrating the efficacy of QISCD in tackling challenging probability distribution scenarios.