Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor
Abstract
Quantum routers (QRouters) are essential components of bucket-brigade quantum random access memory (QRAM), enabling quantum applications such as Grover's search and quantum machine learning. Despite significant theoretical advances, achieving scalable and coherent QRouters experimentally remains challenging. Here, we demonstrate coherent quantum routers using a superconducting quantum processor, laying a practical foundation for scalable QRAM systems. The quantum router at the core of our implementation utilizes the transition composite gate (TCG) scheme, wherein auxiliary energy levels temporarily mediate conditional interactions, substantially reducing circuit depth compared to traditional gate decompositions. Moreover, by encoding routing addresses in the non-adjacent qutrit states and , our design inherently enables eraser-detection capability, providing efficient post-selection to mitigate routing errors. Experimentally, we achieve individual QRouter fidelities up to 95.74%, and validate scalability through a two-layer quantum routing network achieving an average fidelity of 82.40%. Our results represent a significant advancement in quantum routing technology, providing enhanced fidelity, built-in error resilience, and practical scalability crucial for the development of future QRAM and large-scale quantum computing architectures.
Cite
@article{arxiv.2505.13958,
title = {Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor},
author = {Sheng Zhang and Yun-Jie Wang and Peng Wang and Ren-Ze Zhao and Xiao-Yan Yang and Ze-An Zhao and Tian-Le Wang and Hai-Feng Zhang and Zhi-Fei Li and Yuan Wu and Hao-Ran Tao and Liang-Liang Guo and Lei Du and Chi Zhang and Zhi-Long Jia and Wei-Cheng Kong and Zhuo-Zhi Zhang and Xiang-Xiang Song and Yu-Chun Wu and Zhao-Yun Chen and Peng Duan and Guo-Ping Guo},
journal= {arXiv preprint arXiv:2505.13958},
year = {2025}
}
Comments
5 pages,4 figures