We present experimental results on running 4-qubit unstructured search on IBM quantum processors. Our best attempt attained probability of success around 24.5%. We try several algorithms and use the most recent developments in quantum search to reduce the number of entangling gates that are currently considered the main source of errors in quantum computations. Comparing theoretical expectations of an algorithm performance with the actual data, we explore the hardware limits, showing sharp, phase-transition-like degradation of performance on quantum processors. We conclude that it is extremely important to design hardware-aware algorithms and to include any other low level optimizations on NISQ devices.

翻译：我们展示了运行 IBM 量子处理器4 Q- 平方位无结构搜索的实验结果。 我们最大的尝试在24.5%左右成功概率。 我们尝试了几种算法,并使用量子搜索的最新发展来减少目前被视为量子计算错误主要来源的连接门的数量。 将算法性能的理论期望与实际数据进行比较, 我们探索硬件限值, 显示量子处理器的性能急剧、 阶段性过渡式的退化。 我们的结论是, 设计硬件能算法并包含任何其它低水平的 NISQ 设备优化非常重要 。