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Hardware-Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms
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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 paper presents a hardware-efficient native gate set {iSCZ, C-iSCZ} 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, our approach directly substitutes the conventional {SWAP, CSWAP} gates with the new gate set, eliminating decomposition overhead and significantly reducing circuit depth and gate count.
Forward citations
Cited by 2 Pith papers
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A resource-efficient quantum-walker Quantum RAM
Proposes a quantum-walker qRAM on a single binary tree using local operations that reduces resources while preserving optimal query complexity.
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Practical Fidelity Limits of Toffoli Gates in Superconducting Quantum Processors
Benchmarking a decomposed Toffoli gate on IBM quantum hardware yields 56-64% state fidelities, but the claimed state-dependent error pattern is confounded by using different devices.
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