基于局部合成的量子电路参数化分解方法

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Yu Zhang, Xueyun Cheng, Fei Ding, Pengcheng Zhu, Zhijin Guan, Hui Gu
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引用次数: 0

摘要

为了减少量子电路分解后的基门数量,提高整体保真度,提高复杂量子程序的表达能力,本文提出了一种基于局部合成(PDBLS)的量子电路参数化分解方法。在分解之前,通过形式化定义和自动采集“可压缩块”,采用局部综合的方法对电路结构进行分析和优化,同时通过栅极交换重排序生成新的可压缩块,从而减少需要分解的基门数量。在理论层面,在Weyl室框架内,我们提供了一个严格的证明,表明分解双量子位门(2Q)所需的基门的最佳数量正好对应于其Weyl室坐标所在的覆盖层。在分解阶段,我们引入了一个参数化分解模板与U3门交替基门,结合分解保真度和硬件保真度定义的代价函数,以及基于L-BFGS优化的逐层深化策略,在保持目标保真度的同时保证了最小基门的使用。实验结果表明,PDBLS在各种基准电路和门集上显著减少了2Q基门的数量,在精确和近似分解条件下都表现出优势,并且在大规模电路上具有很强的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A quantum circuit parameterized decomposition method based on local synthesis

A quantum circuit parameterized decomposition method based on local synthesis

To reduce the number of basis gates after quantum circuit decomposition, enhance overall fidelity, and improve the expressivity of complex quantum programs, this paper proposes a quantum circuit parameterized decomposition method based on local synthesis (PDBLS). Prior to decomposition, local synthesis is applied to analyze and optimize the circuit structure by formally defining and automatically collecting “compressible blocks”, while also generating new compressible blocks through gate-exchange reordering, thereby reducing the number of basis gates requiring decomposition. At the theoretical level, within the Weyl chamber framework, we provide a rigorous proof showing that the optimal number of basis gates required for decomposing a two-qubit gate (2Q) corresponds exactly to the coverage layer in which its Weyl chamber coordinate lies. In the decomposition stage, we introduce a parameterized decomposition template alternating basis gates with U3 gates, combined with a cost function defined by decomposition fidelity and hardware fidelity, as well as a layer-by-layer deepening strategy with L-BFGS optimization, ensuring minimum basis gate usage while maintaining target fidelity. Experimental results demonstrate that PDBLS significantly reduces the number of 2Q basis gates across various benchmark circuits and gate sets, showing advantages under both exact and approximate decomposition conditions, and exhibiting strong scalability on large-scale circuits.

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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
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