Dynamic Topology for Quantum Information Compression
Jincheng Zhang
Abstract
Quantum information compression is a critical challenge in quantum information science, demanding efficient methods to reduce the volume of quantum states. Traditional approaches often rely on classical encoding schemes, which can be computationally intensive and may not fully exploit the inherent properties of quantum information. This paper introduces a novel dynamic topology-based quantum information compression technique, leveraging the power of topology to optimize the encoding and transmission of quantum states, resulting in significantly improved compression rates compared to existing methods. The core mechanism centers on constructing a dynamic, multi-layered topology that allows for flexible and adaptive compression, enabling efficient utilization of quantum resources. We present a theoretical framework and initial experimental results demonstrating the effectiveness of this approach. The proposed method offers a promising pathway toward more practical and efficient quantum information processing.