Quantum compilation is the problem of translating an input quantum circuit into the most efficient equivalent of itself, taking into account the characteristics of the device that will execute the computation. Compilation strategies are composed of sequential passes that perform placement, routing and optimization tasks. Noise-adaptive compilers do take the noise statistics of the device into account, for some or all passes. The noise statics can be obtained from calibration data, and updated after each device calibration. In this paper, we propose a novel noise-adaptive compilation strategy that is computationally efficient. The proposed strategy assumes that the quantum device coupling map uses a heavy-hexagon lattice. Moreover, we present the application-motivated benchmarking of the proposed noise-adaptive compilation strategy, compared with some of the most advanced state-of-art approaches. The presented results seem to indicate that our compilation strategy is particularly effective for deep circuits and for square circuits.

翻译：量子汇编是将输入量子电路转换成效率最高等同本身的问题,考虑到进行计算的设备的特点。汇编战略由执行放置、路由和优化任务的顺序传票组成。噪声适应编集器确实考虑到设备的一些或所有传票的噪音统计。噪声静态可以从校准数据中获取,并在每次装置校准后更新。在本文件中,我们提出了一个新的、具有计算效率的噪声适应编集战略。拟议战略假定量子设备配对地图使用重六边形拉蒂。此外,我们介绍了拟议的噪声适应编集战略的应用程序导向基准,与一些最先进的先进方法相比。介绍的结果似乎表明,我们的汇编战略对于深层电路和平方电路特别有效。