Efficient high-dimensional entanglement imaging with a compressive sensing, double-pixel camera

TL;DR

This paper demonstrates a high-resolution, efficient method for imaging spatially entangled photons using a double-pixel compressive sensing camera, significantly reducing acquisition time and confirming quantum correlations.

Contribution

The authors introduce a novel double-pixel compressive sensing technique for high-dimensional entanglement imaging, achieving faster acquisition and higher resolution than traditional methods.

Findings

Achieved imaging at up to 1024 dimensions per detector.

Demonstrated a channel capacity of 8.4 bits per photon.

Violates an entropic EPR separability criterion across all resolutions.

Abstract

We implement a double-pixel, compressive sensing camera to efficiently characterize, at high resolution, the spatially entangled fields produced by spontaneous parametric downconversion. This technique leverages sparsity in spatial correlations between entangled photons to improve acquisition times over raster-scanning by a scaling factor up to n^2/log(n) for n-dimensional images. We image at resolutions up to 1024 dimensions per detector and demonstrate a channel capacity of 8.4 bits per photon. By comparing the classical mutual information in conjugate bases, we violate an entropic Einstein-Podolsky-Rosen separability criterion for all measured resolutions. More broadly, our result indicates compressive sensing can be especially effective for higher-order measurements on correlated systems.