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English(EN) Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network

AI探测器用于超导量子比特电荷跳变，实现实时控制

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种新颖的超导量子比特电荷跳变在线探测器，采用了扩张因果卷积神经网络（DCCNN）。这种新方法可部署在量子仪器控制套件（QICK）平台上，与现有的离线检测技术相比，显著降低了延迟。DCCNN在费米实验室西北地下实验场地（NEXUS）的数据上进行训练，实现了每推理6.19微秒的延迟，并能达到传统方法的探测效率，从而能够实现实时纠错和新颖的量子传感应用。 AI

影响 能够实现量子计算和传感中的实时控制和纠错。

排序理由 研究论文，详细介绍了一种用于特定科学应用的新型AI模型。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI探测器用于超导量子比特电荷跳变，实现实时控制

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Daniel Gaytan-Villarreal, Peter Meiring, Daniel Baxter, Daniel Bowring, Grace Bratrud, Matteo Cremonesi, Giuseppe Di Guglielmo, Grace Wagner, Bowen Xiao ·

    基于卷积神经网络的超导量子比特中电荷跳变的实时检测

    arXiv:2607.14293v1 Announce Type: cross Abstract: Ionizing radiation from cosmic rays and gammas can induce discontinuous jumps in the environmental charge of superconducting qubits (charge jumps), causing correlated errors that challenge fault-tolerant quantum computing while si…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    基于卷积神经网络的超导量子比特中电荷跳变的实时检测

    Ionizing radiation from cosmic rays and gammas can induce discontinuous jumps in the environmental charge of superconducting qubits (charge jumps), causing correlated errors that challenge fault-tolerant quantum computing while simultaneously providing a detection signature for q…

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