在量子设备中实现自动化在场景优化和干扰缓解
Jacob Benestad1, Torbjørn Rasmussen2,3, Bertram Brovang2
1Norwegian University of Science and Technology, Center for Quantum Spintronics, Department of Physics, NO-7491 Trondheim, Norway.
Physical review letters
|December 5, 2025
概括
我们展示了使用进化策略的量子点接触装置的自动化现场优化. 这种方法改善了导电量定量,并减轻了量子设备中的混乱.
科学领域:
- 量子电子学 量子电子学
- 介面镜物理学的物理
- 材料科学是一种材料科学.
背景情况:
- 量子点接触器 (QPC) 是量子电子学的基本组成部分.
- 精确控制QPC中的潜在景观对于量子设备的性能至关重要.
- 材料中的干扰可以显著降低QPCs的量子导电性质.
研究的目的:
- 开发和演示QPC中潜在景观的自动化现场优化方法.
- 在通道狭窄过程中改善导电性的"渐进"性质.
- 为了减轻随机障碍潜在对QPC导电性的影响.
主要方法:
- 使用3x3网关阵列,在QPC收缩的顶部设计图案,用于电压控制.
- 采用了共变矩阵适应的进化策略进行优化.
- 引入了一个指标来量化"步进式"导电性行为.
- 使用紧固结合模型进行模拟,并在物理设备上进行实验.
主要成果:
- 在模拟和实验中成功优化了网关电压.
- 通过现场调整证明了随机干扰潜力的缓解.
- 在优化的QPC中观察到导电量的量化显著改善.
结论:
- 自动化现场优化是提高QPC性能的有效策略.
- 开发的方法可以显著改善导电量定量,减少干扰效应.
- 这种方法为更强大,更可控的量子电子设备提供了途径.
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