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Updated: Jan 29, 2026

Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

Published on: August 2, 2019

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机器学习超导和半导体量子设备的脱凝性属性从图形连接性

Quan Fu1,2,3, Jie Liu2,4, Xin Wang2,3

  • 1School of Physics and Technology, Wuhan University, Wuhan 430072, China.

Entropy (Basel, Switzerland)
|January 28, 2026
PubMed
概括

机器学习从量子比特连接图表中预测量子计算脱凝的寿命. 这种方法通过分析超导和半导体平台的拓特征来指导噪声优化的量子处理器设计.

关键词:
缺乏连贯性 缺乏连贯性一个半导体量子比特.超导量子比特是一种超导量子比特.监督机器学习是指监督机器学习.

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