12-CNOT 双量子比特激发门
文章背景与核心概要
在量子计算领域,高效实现复杂的量子算符对于在近期含噪声中等规模量子(NISQ)设备上运行实用算法至关重要。本文介绍了一种针对双量子比特激发算符的全新分解方案,首次将其 CNOT 门数量成功降至 12 个,突破了此前 13-CNOT 的技术极限(SOTA)。
该项研究所提出的创新电路在多项关键指标上实现了最优的资源效率:不仅将 CNOT 深度缩减至 8(约 27% 的降幅),还将总电路深度减少至 15(约 25% 的降幅),且单量子比特门的增加量控制在极小范围内。由于双量子比特激发算符在实际量子算法(如量子化学模拟)中往往需要被重复调用数百甚至数千次,这种基础模块的优化能够通过叠加效应为整体量子电路带来显著的资源节省。
摘要 (Summary)
本文介绍了据我们所知首个报道的双量子比特激发算符的 12-CNOT 分解方案。我们将新电路与先前的 SOTA 13-CNOT 电路在 4 个不同指标进行了对比。我们的新电路在所有先前 SOTA 电路中实现了最低的 CNOT 数量(12)、最低的 CNOT 深度(8,约 27% 的减少)以及最低的总电路深度(15,减少 25%)。此外,与先前 SOTA 电路中的最低单量子比特门数量(11)相比,我们仅增加了 2 个额外的单量子比特门。由于双量子比特激发算符在实际量子算法中可作为构建模块被使用数百或数千次,因此该类基础元件的任何减少都会在整个电路中产生复利效应,从而显著节省整体资源。
This paper introduces the first reported 12-CNOT decomposition of the double qubit excitation operator, improving upon previous state-of-the-art (SOTA) 13-CNOT circuits. The new circuit achieves optimal resource efficiency across multiple key metrics: * CNOT Count: Reduced to 12. * CNOT Depth: Reduced to 8 (~27% reduction). * Total Circuit Depth: Reduced to 15 (~25% reduction). * One-Qubit Gate Count: Only 2 additional one-qubit gates compared to the previous lowest baseline (11).
Because double qubit excitation operators are utilized extensively (hundreds or thousands of times) in practical quantum algorithms, this optimization compounds to yield significant overall resource savings.
论文元数据 (Paper Metadata)
- arXiv ID: arXiv:2608.11733 [quant-ph]
- Authors: Irfansha Shaik
- Primary Subject: Quantum Physics (
quant-ph)- Secondary Subject: Artificial Intelligence (
cs.AI)- Submitted: August 12, 2026
- Last Revised: August 18, 2026 (Version v2)
- DOI: 10.48550/arXiv.2608.11733
- License: Creative Commons Attribution 4.0 International
摘要原文 (Abstract)
在这项工作中,我们提出了据我们所知首个报道的双量子比特激发算符的 12-CNOT 分解。我们在 4 个不同的指标上将我们的新电路与先前的 SOTA 13-CNOT 电路进行了比较。在所有先前的 SOTA 电路中,我们的新电路具有最低的 CNOT 计数(12)、最低的 CNOT 深度(8,大约减少 27%)以及最低的总电路深度(15,减少 25%)。此外,与先前 SOTA 电路中最低的单量子比特门计数(11)相比,我们仅增加了 2 个额外的单量子比特门。由于双量子比特激发算符在实际量子算法中可以作为构建模块使用数百或数千次,因此该类原语的任何减少都会在整个电路中产生复合效应,从而带来显着的整体资源节省。
In this work, we presented, to the best of our knowledge, the first reported 12-CNOT decomposition of the double qubit excitation operator. We compared our new circuit with the previous SOTA 13-CNOT circuits in 4 different metrics. Our new circuit has the lowest CNOT count (12), lowest CNOT depth (8, roughly 27% reduction), and lowest total circuit depth (15, 25% reduction) among all the previous SOTA circuits. Further, we only added 2 extra one-qubit gates compared to the lowest one-qubit gate count (11) among the previous SOTA circuits. As the double qubit excitation operator can be used as a building block hundreds or thousands of times in practical quantum algorithms, any reduction in such primitives compounds over the full circuit, resulting in significant overall resource savings.
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