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相关概念视频

Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
Continuous Charge Distributions01:17

Continuous Charge Distributions

Imagine a bucket of water. It contains many molecules, of the order of 1026 molecules. Thus, although it contains discrete elements (molecules) at the microscopic level, macroscopically, it can be considered continuous. Small volume elements of water, infinitesimal compared to the bulk of the bucket's volume, still contain many molecules. Under this framework, quantized matter is approximated as continuous for practical purposes.
The electric charge can also be subjected to an analogical...

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相关实验视频

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Silicon Metal-oxide-semiconductor Quantum Dots for Single-electron Pumping
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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.

Nano letters
|February 27, 2025
PubMed
概括

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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Modeling Fast-scan Cyclic Voltammetry Data from Electrically Stimulated Dopamine Neurotransmission Data Using QNsim1.0
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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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.