DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator

Quantum readout error is the most significant source of error, substantially reducing the measurement fidelity. Tensor-product-based readout error mitigation has been proposed to address this issue by approximating the mitigation matrix. However, this method inevitably encounters the dynamic generat...

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Vydáno v:2025 62nd ACM/IEEE Design Automation Conference (DAC) s. 1 - 7
Hlavní autoři: Zhou, Kaiwen, Lu, Liqiang, Zhang, Hanyu, Xiang, Debin, Tao, Chenning, Zhao, Xinkui, Zheng, Size, Yin, Jianwei
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 22.06.2025
Témata:
Design automation
Logic gates
Measurement uncertainty
Memory management
Prevention and mitigation
Probability distribution
Quantum state
Qubit
Technological innovation
Tensors
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Shrnutí:Quantum readout error is the most significant source of error, substantially reducing the measurement fidelity. Tensor-product-based readout error mitigation has been proposed to address this issue by approximating the mitigation matrix. However, this method inevitably encounters the dynamic generation of the mitigation matrix, leading to long latency. In this paper, we propose DyREM, a software-hardware codesign approach that mitigates readout errors with an embedded accelerator. The main innovation lies in leveraging the inherent sparsity in the nonzero probability distribution of quantum states and calculating the tensor product on an embedded accelerator. Specifically, using the output sparsity, our dataflow dynamically downsamples the original mitigation matrix, which dramatically reduces the memory requirement. Then, we design DyREM architecture that can flexibly gate the redundant computation of nonzero quantum states. Experiments demonstrate that DyREM achieves an average speedup of 9.6 \times \sim 2000 \times and fidelity improvements of 1.03 \times \sim 1.15 \times compared to state-of-the-art readout error mitigation methods.
DOI:10.1109/DAC63849.2025.11132635