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Spiking neural networks for streaming qubit readout
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2026-10-02,arXiv·Neural and Evolutionary Computing 报道一项研究,提出脉冲神经网络(SNN)判别器用于超导量子比特的流式读出。该方法将测量窗口分块处理,SNN 在数据到达时更新分类分数,性能超越匹配滤波判别器并接近全迹人工神经网络。每个 FPGA 推理更新可在下一读取块到达前完成,适用于低延迟实时量子控制。
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Oct 2, 2026
- arXiv · Neural and Evolutionary ComputingSpiking neural networks for streaming qubit readout
研究提出脉冲神经网络(SNN)判别器用于超导量子比特的流式读出。通过分块处理测量窗口,SNN 在数据到达时更新分类分数,性能超越匹配滤波判别器并接近全迹人工神经网络。每个 FPGA 推理更新可在下一读取块到达前完成,适用于低延迟实时量子控制。
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