Machine-learning-assisted electron-spin readout of nitrogen-vacancy center in diamond-Reference-Cited by-同舟云学术

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Machine-learning-assisted electron-spin readout of nitrogen-vacancy center in diamond

Published:2021-02-22 Issue:8 Volume:118 Page:084001
ISSN:0003-6951
Container-title:Applied Physics Letters
language:en
Short-container-title:Appl. Phys. Lett.

Author:

Qian Peng¹^ORCID,Lin Xue¹,Zhou Feifei¹,Ye Runchuan¹,Ji Yunlan¹,Chen Bing¹^ORCID,Xie Guangjun¹,Xu Nanyang¹

Affiliation:

1. School of Electronic Science and Applied Physics, Hefei University of Technology, Hefei, Anhui 230009, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0038590

Reference36 articles.

1. Experimental Machine Learning of Quantum States

2. Separability-entanglement classifier via machine learning

3. Transforming Bell’s inequalities into state classifiers with machine learning

4. Magnetic-Field Learning Using a Single Electronic Spin in Diamond with One-Photon Readout at Room Temperature

5. Bayesian estimation for quantum sensing in the absence of single-shot detection

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Real-Time Spin Readout of Nitrogen-Vacancy Centers Based on Bayesian Estimation;IEEE Transactions on Industrial Electronics;2024-10

2. Effective and robust quantum state tomography of electron-nuclear spins in diamond by time-resolved fluorescence;Applied Physics Letters;2024-08-12

3. Controllable Electrical Properties of ZrO₂/BiFeO₃ Bilayer Memristor from Synaptic Mimic to TRNG Circuit Application by Modulating Compliance Currents;Advanced Electronic Materials;2024-05-22

4. Direct readout of a nitrogen-vacancy hybrid-spin quantum register in diamond by analysis of photon arrival time;Physical Review Applied;2024-05-21

5. Efficient characterization of blinking quantum emitters from scarce data sets via machine learning;Materials for Quantum Technology;2024-03-01

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