论文标题
建模短距离微波网络以扩展超导量子计算
Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
论文作者
论文摘要
超导量子计算机的核心挑战是扩大每个处理器中的量子数量，而不会增加噪声或串扰。跨小量子阵列（称为chiplets）的分布式量子计算可以以可扩展的方式解决这些挑战。我们在微波链路上提出了一个chiplet架构，有可能在近期硬件上超过整体性能。我们建模和评估Chiplet体系结构的方法桥接了这些处理器中的物理和网络层。我们发现证据表明，尽管跨链接转移的错误数字更高，但在跨芯片上分发计算可能会降低与整个设备移动数据相关的总体错误率。初步分析表明，潜伏期没有基本影响，至少某些应用和体系结构可能避免围绕chiplet边界的瓶颈。从长远来看，短距离网络可能是量子计算机的基础，就像当今的经典数据中心和超级计算机一样。
A core challenge for superconducting quantum computers is to scale up the number of qubits in each processor without increasing noise or cross-talk. Distributed quantum computing across small qubit arrays, known as chiplets, can address these challenges in a scalable manner. We propose a chiplet architecture over microwave links with potential to exceed monolithic performance on near-term hardware. Our methods of modeling and evaluating the chiplet architecture bridge the physical and network layers in these processors. We find evidence that distributing computation across chiplets may reduce the overall error rates associated with moving data across the device, despite higher error figures for transfers across links. Preliminary analyses suggest that latency is not substantially impacted, and that at least some applications and architectures may avoid bottlenecks around chiplet boundaries. In the long-term, short-range networks may underlie quantum computers just as local area networks underlie classical datacenters and supercomputers today.
