基于量子计算的概率推理算法
Jincheng Zhang
Abstract
This paper presents a novel probabilistic reasoning algorithm based on quantum computing, aiming to address limitations of traditional algorithms in handling complex probabilistic scenarios. The core of this approach leverages quantum properties, specifically superposition and entanglement, to drastically accelerate the computation of probability distributions and inference. We demonstrate the algorithm's effectiveness through theoretical analysis and preliminary experimental validation, showcasing significant improvements in efficiency and accuracy compared to existing methods for specific probabilistic problems. The proposed algorithm's unique mechanism focuses on leveraging quantum entanglement for enhanced probability state manipulation, ultimately offering a paradigm shift in probabilistic computation.