Quantum Entanglement Amplification and Adaptive Quantum Computing
Jincheng Zhang
Abstract
Quantum entanglement, a cornerstone of quantum mechanics, has long been a subject of intense theoretical and experimental investigation. While the phenomenon of entanglement is well-established, its potential for practical applications, particularly in computation, remains largely unexplored. This paper explores the extension of quantum entanglement to facilitate adaptive quantum computation, utilizing a novel non-local model and an optimized quantum algorithm. We argue that the introduction of non-local effects, coupled with adaptive algorithms, offers a pathway towards solving complex problems intractable with classical approaches. The core claim is that by leveraging this framework, we can achieve significant advancements in quantum computation, particularly through enhanced complexity handling.