更快且更短的 Hamiltonian 模拟电路综合
Faster and shorter synthesis of Hamiltonian simulation circuits
AI总结:
针对 Pauli 旋转量子电路综合,本文提出可优化纠缠门数量或深度、并可调节旋转顺序约束的贪心启发式方法,在 Hamiltonian 模拟基准上实现最高 4 倍深度压缩,还可优化通用电路。
摘要:
我们设计了专门用于综合实现一组指定 Pauli 旋转的量子电路的贪心启发式方法。这些启发式方法旨在最小化纠缠门数量或纠缠门深度,并且可以调整为保持或放宽旋转顺序。我们给出的基准测试结果表明,与当前用于综合 Hamiltonian 模拟电路的最先进启发式方法相比,深度最多可降低至原来的四分之一。我们还表明,这些启发式方法可通过分解和重新综合来优化通用量子电路。
英文摘要:
We devise greedy heuristics tailored for synthesizing quantum circuits that implement a specified set of Pauli rotations. Our heuristics are designed to minimize either the count of entangling gates or the depth of entangling gates, and they can be adjusted to either maintain or loosen the ordering of rotations. We present benchmark results demonstrating a depth reduction of up to a factor of 4 compared to the current state-of-the-art heuristics for synthesizing Hamiltonian simulation circuits. We also show that these heuristics can be used to optimize generic quantum circuits by decomposing and resynthesizing them.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。