Quantum Entanglement Non-Linear Computation: An Adaptive Algorithm Design
Jincheng Zhang
Abstract
Quantum entanglement, a fundamental quantum phenomenon, holds the potential for revolutionary computational capabilities. This paper investigates the design of an adaptive algorithm for non-linear computation utilizing quantum entanglement. The core claim is that this algorithm will leverage the instantaneous correlations inherent in entangled states to achieve computational complexity surpassing classical systems, and implement adaptive computation efficiency. We detail the proposed quantum entanglement-based model, its underlying mechanism, and the significance of this approach in advancing quantum computing. The paper presents a comprehensive overview of the algorithm's design, mathematical foundations, and potential applications. The study highlights the advantages of quantum entanglement in achieving these advancements.