Hostname: page-component-848d4c4894-pjpqr Total loading time: 0 Render date: 2024-06-26T20:38:05.698Z Has data issue: false hasContentIssue false

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: akshayag@mit.edu

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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