论文标题
基准测试在Sunway Taihulight上进行50光量高斯玻色子采样
Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
论文作者
论文摘要
预计玻色子采样将是展示量子至上的重要里程碑之一。目前的工作确立了基于Sunway Taihulight超级计算机的阈值检测的高斯玻色子采样（GBS）的基准测试。为了实现最佳性能并为未来的量子计算研究提供竞争性场景，基于一组创新方法，包括并行方案和指令级优化方法，将选定的仿真算法完全优化。此外，分别通过自适应精度优化方案和基于DAG的启发式搜索算法以复杂的方式处理数据精度和指令计划。基于这些方法，设计了高效且平行的量子采样算法。最大的运行使我们能够在128位精度的20小时内从20小时内从50光子GBS获得100 x 100 subsatrix的一个多伦多功能，而256位精度为2天。
Boson sampling is expected to be one of an important milestones that will demonstrate quantum supremacy. The present work establishes the benchmarking of Gaussian boson sampling (GBS) with threshold detection based on the Sunway TaihuLight supercomputer. To achieve the best performance and provide a competitive scenario for future quantum computing studies, the selected simulation algorithm is fully optimized based on a set of innovative approaches, including a parallel scheme and instruction-level optimizing method. Furthermore, data precision and instruction scheduling are handled in a sophisticated manner by an adaptive precision optimization scheme and a DAG-based heuristic search algorithm, respectively. Based on these methods, a highly efficient and parallel quantum sampling algorithm is designed. The largest run enables us to obtain one Torontonian function of a 100 x 100 submatrix from 50-photon GBS within 20 hours in 128-bit precision and 2 days in 256-bit precision.
