Efficient High-Dimensional Entanglement Imaging with a Compressive-Sensing Double-Pixel Camera
We implement a double-pixel compressive-sensing camera to efficiently characterize, at high resolution, the spatially entangled fields that are produced by spontaneous parametric down-conversion. This technique leverages sparsity in spatial correlations between entangled photons to improve acquisiti...
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| Published in: | Physical review. X Vol. 3; no. 1; p. 011013 |
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| Abstract | We implement a double-pixel compressive-sensing camera to efficiently characterize, at high resolution, the spatially entangled fields that are produced by spontaneous parametric down-conversion. This technique leverages sparsity in spatial correlations between entangled photons to improve acquisition times over raster scanning by a scaling factor up to n2/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 entangled photons’ classical mutual information in conjugate bases, we violate an entropic Einstein-Podolsky-Rosen separability criterion for all measured resolutions. More broadly, our result indicates that compressive sensing can be especially effective for higher-order measurements on correlated systems. |
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| AbstractList | We implement a double-pixel compressive-sensing camera to efficiently characterize, at high resolution, the spatially entangled fields that are produced by spontaneous parametric down-conversion. 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 entangled photons’ classical mutual information in conjugate bases, we violate an entropic Einstein-Podolsky-Rosen separability criterion for all measured resolutions. More broadly, our result indicates that compressive sensing can be especially effective for higher-order measurements on correlated systems. We implement a double-pixel compressive-sensing camera to efficiently characterize, at high resolution, the spatially entangled fields that are produced by spontaneous parametric down-conversion. This technique leverages sparsity in spatial correlations between entangled photons to improve acquisition times over raster scanning by a scaling factor up to n2/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 entangled photons’ classical mutual information in conjugate bases, we violate an entropic Einstein-Podolsky-Rosen separability criterion for all measured resolutions. More broadly, our result indicates that compressive sensing can be especially effective for higher-order measurements on correlated systems. |
| ArticleNumber | 011013 |
| Author | Howland, Gregory A. Howell, John C. |
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| CitedBy_id | crossref_primary_10_1088_1367_2630_ab6bf5 crossref_primary_10_1088_2040_8978_18_5_053501 crossref_primary_10_1103_PhysRevLett_112_253602 crossref_primary_10_1038_s41598_018_20798_z crossref_primary_10_1103_PhysRevA_93_022109 crossref_primary_10_1038_s41598_019_53914_8 crossref_primary_10_1116_1_5112027 crossref_primary_10_7498_aps_66_014201 crossref_primary_10_1103_PhysRevA_101_013807 crossref_primary_10_1038_s41598_018_26144_7 crossref_primary_10_1103_PhysRevApplied_14_054069 crossref_primary_10_1364_AOP_497143 crossref_primary_10_1109_JPHOT_2018_2813974 crossref_primary_10_1364_OL_392694 crossref_primary_10_1103_PhysRevX_6_021018 crossref_primary_10_1103_PRXQuantum_1_020307 crossref_primary_10_1088_0957_4484_27_43_434003 crossref_primary_10_1103_PhysRevA_99_033854 crossref_primary_10_1103_PhysRevA_96_013822 crossref_primary_10_1103_PhysRevLett_113_090402 crossref_primary_10_1103_PhysRevA_87_053834 crossref_primary_10_1103_PhysRevA_90_063811 crossref_primary_10_1364_OE_392522 crossref_primary_10_1103_PhysRevLett_112_053602 crossref_primary_10_1103_PhysRevLett_113_160401 crossref_primary_10_1103_PhysRevA_98_023854 crossref_primary_10_1103_PhysRevA_88_013816 crossref_primary_10_1103_PhysRevA_97_042312 crossref_primary_10_1063_1_4809836 crossref_primary_10_1103_PhysRevA_104_062409 crossref_primary_10_1103_PhysRevA_95_042311 crossref_primary_10_1103_PhysRevA_96_062326 crossref_primary_10_1088_2058_9565_1_1_015004 crossref_primary_10_1103_PhysRevLett_110_210502 crossref_primary_10_1364_OPTICAQ_518037 |
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| SubjectTerms | Cameras Channel capacity Information theory Measurement techniques Photons Pixels Quantum entanglement Quantum mechanics Raster scanning Rolls Scaling factors Sparsity System effectiveness Time measurement Wave functions |
| Title | Efficient High-Dimensional Entanglement Imaging with a Compressive-Sensing Double-Pixel Camera |
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