Hardware-Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms
ADVANCED QUANTUM TECHNOLOGIES(2025)
Univ Sci & Technol China | Inst Artificial Intelligence
Abstract
Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which is the cornerstone of quantum algorithms. Among various QRAM architectures, the bucket-brigade model stands out due to its noise resilience. This study presents a hardware-efficient native gate set {iSCZ,C-iSCZ,S dagger}$\lbrace \textsf {iSCZ}, \textsf {C-iSCZ}, \textsf {S}<^>{\dagger }\rbrace$ for implementing bucket-brigade QRAM on superconducting platforms. The experimental feasibility of the proposed gate set is demonstrated, showing high fidelity and reduced complexity. By leveraging the complementary control property in QRAM, the approach directly substitutes the conventional {SWAP,CSWAP}$\lbrace \textsf {SWAP}, \textsf {CSWAP} \rbrace$ gates with the new gate set, eliminating decomposition overhead and significantly reducing circuit depth and gate count.
MoreTranslated text
Key words
quantum computing,quantum information,quantum look-up table,quantum random access memory,quantum router
PDF
View via Publisher
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined