一句话：统一重写规则与酉合成，提出极简算法GUOQ优化量子电路，大幅超越现有优化器。
量子电路优化对在量子处理器上成功执行电路至关重要，核心目标是最小化量子操作数量。论文将两类思路——快速的标准化重写规则 pass 与慢速、需在电路空间搜索的酉合成——统一为抽象电路变换框架，使重写与重合成可被同一视角刻画。基于该框架，作者提出极简算法 GUOQ，利用重写与重合成之间的协同来优化量子电路。在广泛基准上的大量评估表明，GUOQ 显著优于现有优化器。
Optimizing quantum circuits is critical: the number of quantum operations needs to be minimized for a successful evaluation of a circuit on a quantum processor. In this paper we unify two disparate ideas for optimizing quantum circuits, rewrite rules, which are fast standard optimizer passes, and unitary synthesis, which is slow, requiring a search through the space of circuits. We present a clean, unifying framework for thinking of rewriting and resynthesis as abstract circuit transformations. We then present a radically simple algorithm, guoq, for optimizing quantum circuits that exploits the synergies of rewriting and resynthesis. Our extensive evaluation demonstrates the ability of guoq to strongly outperform existing optimizers on a wide range of benchmarks.