论文标题
朝着无线网络系统中的混合经典量子计算结构
Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems
论文作者
论文摘要
随着当今无线网络中交通负载的前所未有的增加，设计挑战从无线网络本身转移到无线网络背后的计算支持。在这种情况下，量子计算方法具有新的兴趣，因为它们有可能会加快加速处理，从而改善网络吞吐量。但是，由于偏压和噪声的物理现象，今天实际上实际存在的量子硬件比基于硅的硬件更容易受到计算错误的影响。本文探讨了两种计算类型之间的边界---在无线系统中优化问题的经典 - 量词混合处理 - - 设想如何同时利用这两种方法的好处。我们使用当今最先进的实验可用技术之一（反向量子退火）探索了使用真实硬件原型的混合系统的可行性。在5G新的无线电路线图中设想的低延迟，大型MIMO系统的初步结果令人鼓舞，在处理时间方面的性能比先前发布的结果大约要好2--10倍。
With unprecedented increases in traffic load in today's wireless networks, design challenges shift from the wireless network itself to the computational support behind the wireless network. In this vein, there is new interest in quantum-compute approaches because of their potential to substantially speed up processing, and so improve network throughput. However, quantum hardware that actually exists today is much more susceptible to computational errors than silicon-based hardware, due to the physical phenomena of decoherence and noise. This paper explores the boundary between the two types of computation---classical-quantum hybrid processing for optimization problems in wireless systems---envisioning how wireless can simultaneously leverage the benefit of both approaches. We explore the feasibility of a hybrid system with a real hardware prototype using one of the most advanced experimentally available techniques today, reverse quantum annealing. Preliminary results on a low-latency, large MIMO system envisioned in the 5G New Radio roadmap are encouraging, showing approximately 2--10X better performance in terms of processing time than prior published results.
