High-Order Quantum Entanglement Computation Models
Jincheng Zhang
Abstract
This research explores the development of novel computational models predicated on high-order quantum entanglement, aiming to significantly enhance the efficiency and scalability of quantum computation. Traditional approaches often struggle to effectively utilize the unique properties of entangled states, necessitating innovative modeling strategies. This work proposes a framework leveraging these properties to enable complex quantum computations, pushing the boundaries of what is currently achievable with existing quantum hardware. The core mechanism centers on dynamically generating and manipulating entangled states, facilitating algorithms with enhanced expressiveness and reduced resource requirements. The resulting models offer a pathway to overcome limitations inherent in current quantum algorithms.