基于有限域的量子纠缠的概率推理
Jincheng Zhang
Abstract
This paper explores the potential of leveraging limited-domain quantum entanglement for probabilistic reasoning. Traditional approaches to quantum entanglement reasoning often rely on complex quantum computations, limiting the ability to effectively harness the inherent probabilistic nature of the phenomenon. We propose a novel framework utilizing limited-domain quantum entanglement, focusing on the probabilistic properties of entangled states. This framework offers improved efficiency and a more intuitive approach to probabilistic inference, potentially revolutionizing the way we reason about quantum systems. The core mechanism centers around encoding and manipulating entanglement states within a restricted Hilbert space, enabling probabilistic modeling and enhanced reasoning. We present a preliminary design and discuss the advantages and challenges of this approach, highlighting its potential for accelerating quantum computation and enhancing the precision of probabilistic analysis.