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在线实验量子点使用神经网络进行自动调整.

Victor Yon1,2,3, Bastien Galaup1,2,3, Claude Rohrbacher2,3,4

  • 1Institut Interdisciplinaire d'Innovation Technologique (3IT), Université de Sherbrooke, Sherbrooke, QC Canada, J1K 0A5.

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概括
此摘要是机器生成的。

这项研究展示了一个人工智能驱动的系统,用于量子点设备的自主校准. 它成功地将自旋量子比特调整到一个电子的状态,精度为95%,为可扩展的量子计算铺平了道路.

关键词:
自主校准的自主校准收费自动调节 收费自动调节卷积神经网络是一种卷积神经网络.机器学习是机器学习.一个量子点,一个量子点.可扩展的量子计算.旋转量子比特 (spin qubit) 是一个量子比特.

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科学领域:

  • 量子计算是一种量子计算.
  • 半导体物理 半导体物理
  • 机器学习 机器学习

背景情况:

  • 可扩展的量子计算依赖于基于自旋的半导体量子比特.
  • 自主校准对于可靠的量子比特操作至关重要.
  • 目前的校准方法可能耗时,需要人工干预.

研究的目的:

  • 实验性地演示量子点设备的在线单点电荷自动调节.
  • 开发一个基于机器学习的闭环校准系统.
  • 为了实现单电子体制的自主隔离.

主要方法:

  • 将卷积神经网络集成到一个闭环校准系统中.
  • 探索门电压空间以确定电荷过渡线.
  • 使用模型不确定性估计来发现高效的门配置.

主要成果:

  • 在20次实验运行中,在定位目标电子状态方面取得了95%的成功率.
  • 证明了对噪音和分配转移的坚固性.
  • 平均调运行时间为2小时9分钟,受测速限.

结论:

  • 验证了基于机器学习的量子点实时电荷自动调节的可行性.
  • 这种方法推动了大型量子比特数组的控制系统的开发.
  • 允许自主操作,减少量子设备校准中的人类干预.