Compressive direct imaging of a billion-dimensional optical phase space

Samuel H. Knarr, Daniel J. Lum, James Schneeloch, John C. Howell

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Optical phase spaces represent fields of any spatial coherence and are typically measured through phase-retrieval methods involving a computational inversion, optical interference, or a resolution-limiting lenslet array. Recently, a weak-values technique demonstrated that a beam's Dirac phase space is proportional to the measurable complex weak value, regardless of coherence. These direct measurements require raster scanning through all position-polarization couplings, limiting their dimensionality to less than 100 000 [C. Bamber and J. S. Lundeen, Phys. Rev. Lett. 112, 070405 (2014)PRLTAO0031-900710.1103/PhysRevLett.112.070405]. We circumvent these limitations using compressive sensing, a numerical protocol that allows us to undersample, yet efficiently measure, high-dimensional phase spaces. We also propose an improved technique that allows us to directly measure phase spaces with high spatial resolution with scalable frequency resolution. With this method, we are able to easily and rapidly measure a 1.07-billion-dimensional phase space. The distributions are numerically propagated to an object in the beam path, with excellent agreement for coherent and partially coherent sources. This protocol has broad implications in quantum research, signal processing, and imaging, including the recovery of Fourier amplitudes in any dimension with linear algorithmic solutions and ultra-high-dimensional phase-space imaging.

Original languageAmerican English
Article number023854
JournalPhysical Review A
Volume98
Issue number2
DOIs
StatePublished - 28 Aug 2018

Bibliographical note

Publisher Copyright:
© 2018 American Physical Society.

Fingerprint

Dive into the research topics of 'Compressive direct imaging of a billion-dimensional optical phase space'. Together they form a unique fingerprint.

Cite this