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 language | English |
|---|---|
| Article number | 042613 |
| Journal | Physical Review A |
| Volume | 111 |
| Issue number | 4 |
| Online published | 14 Apr 2025 |
| DOIs | |
| Publication status | Published - 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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