面向最优拓扑感知量子电路合成

M. Davis, Ethan Smith, Ana Tudor, Koushik Sen, I. Siddiqi, Costin Iancu
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引用次数: 44

摘要

我们提出了一种将任意一元元编译成量子处理器原生门序列的算法。由于CNOT门在可预见的噪声-中等规模量子设备时代容易出错,我们的A*启发算法在考虑连接的同时最大限度地减少了它们的计数。我们讨论了将综合作为一个搜索问题的公式,以及寻找解的算法。对于适合NISQ时代的复杂电路工作负载,我们在文献中发表的最佳上界范围内生成解决方案,并匹配或超过手动调谐实现,以及其他现有的合成替代方案。特别是,当与最先进的现有合成包进行比较时,我们显示CNOT计数平均减少2.4倍(最高减少5.3倍)。我们还展示了如何针对不同的芯片拓扑和本机门集重新定位算法,同时获得相似的质量结果。我们相信,像我们这样的工具可以促进量子处理器设计人员的算法探索和指导门集发现,以及对量子编译工具链的优化有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Optimal Topology Aware Quantum Circuit Synthesis
We present an algorithm for compiling arbitrary unitaries into a sequence of gates native to a quantum processor. As CNOT gates are error-prone for the foreseeable Noisy-Intermediate-Scale Quantum devices era, our A* inspired algorithm minimizes their count while accounting for connectivity. We discuss the formulation of synthesis as a search problem as well as an algorithm to find solutions. For a workload of circuits with complexity appropriate for the NISQ era, we produce solutions well within the best upper bounds published in literature and match or exceed hand tuned implementations, as well as other existing synthesis alternatives. In particular, when comparing against state-of-the-art available synthesis packages we show 2.4× average (up to 5.3×) reduction in CNOT count. We also show how to re-target the algorithm for a different chip topology and native gate set while obtaining similar quality results. We believe that tools like ours can facilitate algorithmic exploration and guide gate set discovery for quantum processor designers, as well as being useful for optimization in the quantum compilation tool-chain.
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