Hardware‐Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms

• DOI: 10.1002/qute.202400519
• Publication Date: 2025-01-18T09:58:42Z
• Authors: Yun‐Jie Wang; Sheng Zhang; Tai‐Ping Sun; Ze‐An Zhao; Xiao‐Fan Xu; Xi‐Ning Zhuang; Huan‐Yu Liu; Cheng Xue; Peng Duan; Yu‐Chun Wu; Zhao‐Yun Chen; Guo‐Ping Guo
• Keywords: Random access

Abstract Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which the cornerstone of quantum algorithms. Among various QRAM architectures, bucket‐brigade model stands out due to its noise resilience. This study presents hardware‐efficient native gate set implementing on superconducting platforms. The experimental feasibility proposed demonstrated, showing high fidelity and reduced complexity. By leveraging complementary control property QRAM, approach directly substitutes conventional gates with new set, eliminating decomposition overhead significantly reducing circuit depth count.