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arXiv 2304.08758quant-ph

多控制 Z 旋转门量子电路的表征、综合与优化:系统性研究

Characterization, synthesis, and optimization of quantum circuits over multiple-control $\textit{Z}$-rotation gates: A systematic study

Shihao Zhang, Junda Wu, Lvzhou Li

AI总结:

本文针对多控制 Z 旋转门量子电路,建立电路-多项式对应关系,提出最优门数综合方法与深度优化迭代算法,并在对角厄米算符和 QAOA 电路上实现电路深度平均降低 33.40% 和 15.55%。

摘要:

我们对由多控制 Z 旋转(MCZR)门作为基本单元构成的量子电路进行了系统性研究,因为这类门在量子算法中被广泛使用,并且近年来也引起了大量实验研究的兴趣。本文中,我们建立了一种电路-多项式对应关系,用以刻画具有连续参数的 MCZR 门集合上量子电路的功能。我们提出了一种解析方法,能够以最优门数精确综合此类量子电路以实现任意给定的对角酉矩阵,并且在具有互补门对的特定情形下,该方法还能实现电路深度的最优。此外,我们提出了一种门交换策略以及一个灵活的迭代算法,用于有效优化任意 MCZR 电路的深度,该算法同样适用于任何其他可对易门集合上的量子电路。除理论分析外,我们还通过量子计算中两个典型例子的数值实验进一步评估了所提出的电路综合与优化技术的实际性能,这两个例子包括对角厄米算符和具有数十个量子比特的量子近似优化算法(QAOA)电路。实验结果表明,与相关先前工作相比,电路深度平均分别降低了 33.40% 和 15.55%。因此,我们的方法和结果为在近期开发的设备上实现量子电路和量子算法提供了一条途径。

英文摘要:

We conduct a systematic study of quantum circuits composed of multiple-control $Z$-rotation (MCZR) gates as primitives, since they are widely-used components in quantum algorithms and also have attracted much experimental interest in recent years. Herein, we establish a circuit-polynomial correspondence to characterize the functionality of quantum circuits over the MCZR gate set with continuous parameters. An analytic method for exactly synthesizing such quantum circuit to implement any given diagonal unitary matrix with an optimal gate count is proposed, which also enables the circuit depth optimal for specific cases with pairs of complementary gates. Furthermore, we present a gate-exchange strategy together with a flexible iterative algorithm for effectively optimizing the depth of any MCZR circuit, which can also be applied to quantum circuits over any other commuting gate set. Besides the theoretical analysis, the practical performances of our circuit synthesis and optimization techniques are further evaluated by numerical experiments on two typical examples in quantum computing, including diagonal Hermitian operators and Quantum Approximate Optimization Algorithm (QAOA) circuits with tens of qubits, which can demonstrate a reduction in circuit depth by 33.40\% and 15.55\% on average over relevant prior works, respectively. Therefore, our methods and results provide a pathway for implementing quantum circuits and algorithms on recently developed devices.

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。

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