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Performance Analysis of Interaction-Free-Measurement-based Electron Microscopy

Published online by Cambridge University Press:  05 August 2019

Akshay Agarwal*
Affiliation:
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Vivek Goyal
Affiliation:
Department of Electrical and Computer Engineering, Boston University, Boston, Massachusetts, USA
Karl K. Berggren
Affiliation:
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
*
*Corresponding author: [email protected]

Abstract

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Type
Data Acquisition Schemes, Machine Learning Algorithms, and Open Source Software Development for Electron Microscopy
Copyright
Copyright © Microscopy Society of America 2019 

References

[1]Elitzur, A. C. and Vaidman, L., Found. Phys. 23 (1993) p.987.Google Scholar
[2]Putnam, W. P. and Yanik, M. F., Phys. Rev. A 80 (2009), 040902(R).Google Scholar
[3]Kruit, P. et al. , Ultramicroscopy 164 (2016), p.31.Google Scholar
[4]Tavabi, A. H. et al. , Eur. Phys. J. Appl. Phys. 78 (2017), 10701.Google Scholar
[5]Agarwal, A. et al. , Sci. Rep. 7 (2017), 1677.Google Scholar
[6]S. Yasin, F. et al. , J. Phys. D 51 (2018), 205104.Google Scholar
[7]Thomas, S. et al. , Phys. Rev. A 90 (2014), 053840.Google Scholar
[8]Agarwal, A., Berggren, K. and Goyal, V., arXiv:1901:09702 [physics.ins-det] (2019)Google Scholar
[9]The authors acknowledge funding from the Gordon and Betty Moore Foundation, and the U.S. NSF under grands 1422034 and 1815896, and useful discussions with the QEM-2 collaboration.Google Scholar