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Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor

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arxiv 2505.13958 v1 pith:YXKE5AOZ submitted 2025-05-20 quant-ph

Demonstrating Coherent Quantum Routers for Bucket-Brigade Quantum Random Access Memory on a Superconducting Processor

classification quant-ph
keywords quantumroutingcoherentqramroutersaccessachievingbucket-brigade
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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 $|0\rangle$ and $|2\rangle$, 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.

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Cited by 1 Pith paper

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  1. Refined Criteria for QRAM Error Suppression via Efficient Large-Scale QRAM Simulator

    quant-ph 2025-03 unverdicted novelty 7.0

    New scalable QRAM simulator reveals post-selection constraints on error filtration and produces refined near-deterministic performance criteria.