Imaging high-dimensional spatial entanglement with compressive sensing

Gregory A. Howland*, John C. Howell

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We use compressive sensing to efficiently image spatial correlations from spontaneous parametric downconversion at high resolution and witness entanglement. This technique efficiently scales to large dimensions and efficiently handles very low flux signals.

Original languageAmerican English
Title of host publicationCLEO
Subtitle of host publicationQELS_Fundamental Science, CLEO:QELS FS 2013
PagesQF1B.5
StatePublished - 2013
Externally publishedYes
EventCLEO: QELS_Fundamental Science, CLEO:QELS FS 2013 - San Jose, CA, United States
Duration: 9 Jun 201314 Jun 2013

Publication series

NameCLEO: QELS_Fundamental Science, CLEO:QELS FS 2013

Conference

ConferenceCLEO: QELS_Fundamental Science, CLEO:QELS FS 2013
Country/TerritoryUnited States
CitySan Jose, CA
Period9/06/1314/06/13

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