Adaptive Quantum Entanglement Computing Architecture
Jincheng Zhang
Abstract
Quantum computing holds immense potential, but current limitations stem largely from the difficulty of scaling quantum systems. This research proposes a novel quantum computation architecture centered around adaptive quantum entanglement. We introduce a "纠缠连接调整" (Entanglement Connection Adjustment) mechanism, allowing the system to dynamically adjust the connectivity between qubits in response to quantum state changes. This dynamic adjustment, guided by a self-optimizing algorithm, is designed to enhance computational efficiency and address the inherent scalability challenges of existing quantum architectures. This work explores the potential of this approach to overcome limitations in current quantum computing paradigms and lay the groundwork for more efficient and versatile quantum computations.