This work explores entanglement-assisted communication, where quantum entanglement resources enable the transmission of classical information at an enhanced rate. We consider a scenario where entanglement is distributed ahead of time based on network traffic levels, and simulate a setting where idle nodes generate and store entanglement to later transmit messages at an accelerated rate. We analyze this communication model using noise models for quantum memory in various scenarios, and extend our investigation to a quantum-enhanced distributed computing environment, where entanglement storage enhances data transmission rates for cooperative data processing. We propose a protocol and demonstrate a distributed version of unsupervised clustering. Our results show that, for qubit channels, high rates of entanglement generation and modest storage requirements can surpass the classical limit with entanglement assistance.

翻译：本文探究了纠缠辅助通信机制，其中量子纠缠资源可使经典信息传输速率获得提升。我们考虑基于网络流量水平预先分布纠缠的场景，模拟了空闲节点生成并存储纠缠以加速后续信息传输的设定。通过引入不同场景下的量子记忆噪声模型分析该通信模型，并将研究拓展至量子增强分布式计算环境——在该环境中，纠缠存储技术可提升协同数据处理的数据传输速率。我们提出了一种协议，并实现了分布式无监督聚类算法验证。研究表明，对于量子比特信道，高纠缠生成速率与适度存储需求相结合，可使纠缠辅助通信突破经典极限。