Quantum Entanglement and the Foundation of Non-Standard Bayesian Computation
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental phenomenon in quantum mechanics, presents a unique challenge to classical probability theory. This paper explores the potential of combining entanglement with Bayesian computation to construct a novel computational framework capable of precise calculations of quantum states and probability distributions. We introduce the concept of a "correlated probability function" and design a Bayesian computation system leveraging the specific properties of entangled states. This approach offers a fundamentally different way of approaching quantum computations, potentially yielding significant improvements in accuracy and efficiency. The core mechanism focuses on enhancing computational precision through the intrinsic properties of entangled systems.