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Prediction and Real-Time Compensation of Qubit Decoherence Via Machine Learning (Open Access, Publisher's Version).

机译：通过机器学习（开放存取，出版商版）对Qubit退相干的预测和实时补偿。

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Mavadia, S.; Frey, V.; Sastrawan, J.; Dona, S.; Biercuk, M. J.;
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年度 2017
页码 1-6
总页数 6
原文格式 PDF
正文语种 eng
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1. Prediction and real-time compensation of qubit decoherence via machine learning [J] . Sandeep Mavadia, Virginia Frey, Jarrah Sastrawan, Nature Communications . 2017,第1期

机译：通过机器学习预测和实时补偿量子比特去相干
2. Publisher's Note: Quantum many-body theory of qubit decoherence in a finite-size spin bath [Phys. Rev. B 78, 085315 (2008)] [J] . Wen Yang, Ren-Bao Liu Physical review . 2008,第12期

机译：发行人注：有限尺寸自旋浴中量子比特多相干性的量子多体理论[Phys。 B 78，085315（2008）版]
3. Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems [J] . Ma Zhiyuan, Luo Guangchun, Qin Ke, Wireless communications & mobile computing . 2018,第4期

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5. Real-time Crash Predictions of Urban Highways Using Machine Learning Algorithms [D] . Ahamamd Sharif, Mirza. 2020

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6. Prediction and real-time compensation of qubit decoherence via machine learning [O] . Sandeep Mavadia, Virginia Frey, Jarrah Sastrawan, -1

机译：通过机器学习预测和实时补偿量子比特的相干
7. Prediction and real-time compensation of qubit decoherence via machine-learning [O] . Mavadia, Sandeep, Frey, Virginia, Sastrawan, Jarrah, 2016

机译：量子比特退相干的预测和实时补偿机器学习

Prediction and Real-Time Compensation of Qubit Decoherence Via Machine Learning (Open Access, Publisher's Version).

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