Optimizing quantum transformation matrices: Block decomposition approach for efficient gate reduction

Kin Man Lai, Xin Wang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Abstract

This paper introduces an algorithm designed to approximate quantum transformation matrix with a restricted number of gates by using the block decomposition technique. Addressing challenges posed by numerous gates in handling large qubit transformations, the algorithm provides a solution by optimizing gate usage while maintaining computational accuracy. Inspired by the block decompose algorithm, our approach processes transformation matrices in a blockwise manner, enabling users to specify the desired gate count for flexibility in resource allocation. Simulations validate the effectiveness of the algorithm in approximating transformations with significantly fewer gates, enhancing quantum computing efficiency for complex calculations. © 2025 American Physical Society.
Original languageEnglish
Article number042613
JournalPhysical Review A
Volume111
Issue number4
Online published14 Apr 2025
DOIs
Publication statusPublished - Apr 2025

Funding

This work is supported by the National Natural Science Foundation of China (Grants No. 11874312 and No. 12474489), Shenzhen Fundamental Research Program (Grant No. JCYJ20240813153139050), the Guangdong Provincial Quantum Science Strategic Initiative (Grants No. GDZX2203001 and No. GDZX2403001), and the Innovation Program for Quantum Science and Technology (Grant No. 2021ZD0302300).

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED FINAL PUBLISHED VERSION FILE: Lai, K. M., & Wang, X. (2025). Optimizing quantum transformation matrices: Block decomposition approach for efficient gate reduction. Physical Review A, 111(4), Article 042613. https://doi.org/10.1103/PhysRevA.111.042613 The copyright of this article is owned by American Physical Society.

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