一句话:提出基于模拟退火的通用量子电路综合方法,支持任意有限门集与部分规约,速度更快且更通用。
量子算法需将算子分解为受限门集,但现有自动化方法通常慢且适用范围窄。Synthetiq 可在任意有限门集上综合满足给定规约的量子电路:它采用模拟退火与领域特定能量函数,支持利用部分规约提升效率,并配合定制化简保证电路效率。实验显示,它能为 RCCCX、CCT、CCiSWAP、C√SWAP、C√iSWAP 等生成优于已知的实现;在 Clifford+T 全规约综合、ε-近似多量子比特综合和自定义门集任务上,常胜过专用工具,通常快一至两个数量级,并可解决此前工具无法处理的问题。
To implement quantum algorithms on quantum computers it is crucial to decompose their operators into the limited gate set supported by those computers. Unfortunately, existing works automating this essential task are generally slow and only applicable to narrow use cases.We present Synthetiq, a method to synthesize quantum circuits implementing a given specification over arbitrary finite gate sets, which is faster and more versatile than existing works. Synthetiq utilizes Simulated Annealing instantiated with a novel, domain-specific energy function that allows developers to leverage partial specifications for better efficiency. Synthetiq further couples this synthesis method with a custom simplification pass, to ensure efficiency of the found circuits. We experimentally demonstrate that Synthetiq can generate better implementations than were previously known for multiple relevant quantum operators including RCCCX, CCT, CCiSWAP, C√SWAP, and C√iSWAP. Our extensive evaluation also demonstrates Synthetiq frequently outperforms a wide variety of more specialized tools in their own domains, including (i) the well-studied task of synthesizing fully specified operators in the Clifford+T gate set, (ii) є-approximate synthesis of multi-qubit operators in the same gate set, and (iii) synthesis tasks with custom gate sets. On all those tasks, Synthetiq is typically one to two orders of magnitude faster than previous state-of-the-art and can tackle problems that were previously out of the reach of any synthesis tool.
@article{paperbot2557,
title = {Synthetiq: Fast and Versatile Quantum Circuit Synthesis},
author = {Anouk Paradis and Jasper Dekoninck and Benjamin Bichsel and Martin Vechev},
journal = {Proceedings of the ACM on Programming Languages},
volume = {8},
number = {OOPSLA1},
year = {2024},
doi = {10.1145/3649813}
}