Depth-optimized quantum circuit synthesis for diagonal unitary operators with asymptotically optimal gate count

Shihao Zhang, Kai Huang, and Lvzhou Li
Phys. Rev. A 109, 042601 – Published 1 April 2024

Abstract

Diagonal unitary operators are well known to be key building blocks of many quantum algorithms and quantum computing procedures, and thus resource-efficient quantum circuit implementations are in demand. Here we propose a constructive algorithm that can generate a quantum circuit over the primitive gate set {cnot, RZ} for realizing any given diagonal unitary operator piece by piece. The theoretical analysis reveals that, for the general case, our generated circuit not only ensures the asymptotically optimal gate count, but also nearly halves the circuit depth compared with the previous Welch's method [New J. Phys. 16, 033040 (2014)]. Specifically, this substantial depth optimization originates from the use of a uniform circuit rewriting rule developed here. The performance of our circuit synthesis algorithm is further validated by numerical evaluations on two examples. First, we achieve a nearly 50% depth reduction over Welch's method for synthesizing random diagonal unitary operators with up to 16 qubits. Second, we achieve an average of 22.05% depth reduction for resynthesizing the diagonal part of the specific quantum approximate optimization algorithm (QAOA) circuits with up to 14 qubits.

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  • Received 7 October 2023
  • Accepted 29 February 2024

DOI:https://doi.org/10.1103/PhysRevA.109.042601

©2024 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Shihao Zhang1,2, Kai Huang1, and Lvzhou Li1,*

  • 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China
  • 2Hebei Provincial Key Laboratory of Photoelectric Control on Surface and Interface, School of Science, Hebei University of Science and Technology, Shijiazhuang 050018, China

  • *lilvzh@mail.sysu.edu.cn

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Vol. 109, Iss. 4 — April 2024

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