Kavli Affiliate: Ke Wang
| First 5 Authors: Fanhao Shen, Yujie Ji, Debin Xiang, Yanzhe Wang, Ke Wang
| Summary:
Quantum random access memory (QRAM) enables efficient classical data access
for quantum computers — a prerequisite for many quantum algorithms to achieve
quantum speedup. Despite various proposals, the experimental realization of
QRAM remains largely unexplored. Here, we experimentally investigate the
circuit-based bucket-brigade QRAM with a superconducting quantum processor. To
facilitate the experimental implementation, we introduce a hardware-efficient
gate decomposition scheme for quantum routers, which effectively reduces the
depth of the QRAM circuit by more than 30% compared to the conventional
controlled-SWAP-based implementation. We further propose an error mitigation
method to boost the QRAM query fidelity. With these techniques, we are able to
experimentally implement the QRAM architectures with two and three layers,
achieving query fidelities up to 0.800 $pm$ 0.026 and 0.604$pm$0.005,
respectively. Additionally, we study the error propagation mechanism and the
scalability of our QRAM implementation, providing experimental evidence for the
noise resilience nature of the bucket-brigade QRAM architecture. Our results
highlight the potential of superconducting quantum processors for realizing a
scalable QRAM architecture.
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