基于量子纠缠的概率论模型验证
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental phenomenon in quantum mechanics, offers a unique pathway towards achieving quantum computation with unprecedented precision. This research explores the application of a novel probabilistic model predicated on quantum entanglement to enhance the accuracy of quantum computation predictions. We construct a model that leverages entanglement's inherent properties to improve prediction capabilities and provide a robust tool for comparing quantum and classical computation. This work demonstrates the potential of this approach to validate existing quantum computing paradigms and uncover crucial differences in their execution.