Toward real-time quantum imaging with a single pixel camera

Optics Express

Volumn 21, Issue 6, 2013, Pages 7549-7559

  Lawrie, B J ^a   Pooser, R C ^a  

^a OAK RIDGE NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LIGHT MODULATORS; LIGHT SOURCES; PIXELS; SHOT NOISE; VAPORS;

HIGH QUANTUM EFFICIENCY; IMAGING APPLICATIONS; QUANTUM CORRELATED; QUANTUM CORRELATIONS; QUANTUM IMAGING; SINGLE-PIXEL CAMERAS; SPATIAL LIGHT MODULATORS; SPATIAL MODES;

CAMERAS;

RUBIDIUM;

ARTICLE; CHEMISTRY; EQUIPMENT; EQUIPMENT DESIGN; EQUIPMENT FAILURE; GAS; ILLUMINATION; METHODOLOGY; PHOTOMETRY; QUANTUM THEORY;

EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; GASES; LIGHTING; PHOTOMETRY; QUANTUM THEORY; RUBIDIUM;

EID: 84875719096     PISSN: None     EISSN: 10944087     Source Type: Journal    
DOI: 10.1364/OE.21.007549     Document Type: Article

References (21)

1. V. Boyer, A. M. Marino, R. C. Pooser, and P. D. Lett, "Entangled images from four-wave mixing," Science 321, 544-547 (2008).
2. Q. Glorieux, J. B. Clark, A. M. Marino, Z. Zhou, and P. D. Lett, "Temporally multiplexed storage of images in a gradient echo memory," Opt. Express 20, 12350-12358 (2012).
3. D.-S. Ding, Z.-Y. Zhou, B.-S. Shi, X.-B. Zou, and G.-C. Guo, "Image transfer through two sequential four-wavemixing processes in hot atomic vapor," Phys. Rev. A 85, 053815 (2012).
4. J. B. Clark, Z. Zhou, Q. Glorieux, A. M. Marino, and P. D. Lett, "Imaging using quantum noise properties of light," Opt. Express 20, 17050-17058 (2012).
5. E. Brambilla, L. Caspani, O. Jedrkiewicz, L. Lugiato, and A. Gatti, "High-sensitivity imaging with multi-mode twin beams," Phys. Rev. A 77, 053807 (2008).
6. V. Boyer, A. M. Marino, and P. D. Lett, "Generation of spatially broadband twin beams for quantum imaging," Phys. Rev. Lett. 100, 143601 (2008).
7. N. V. Corzo, A. M. Marino, K. M. Jones, and P. D. Lett, "Noiseless optical amplifier operating on hundreds of spatial modes," Phys. Rev. Lett. 109, 043602 (2012).
8. M. I. Kolobov and C. Fabre, "Quantum limits on optical resolution," Phys. Rev. Lett. 85, 3789-3792 (2000).
9. M. Lassen, V. Delaubert, J. Janousek, K. Wagner, H.-A. Bachor, P. K. Lam, N. Treps, P. Buchhave, C. Fabre, and C. C. Harb, "Tools for multimode quantum information: Modulation, detection, and spatial quantum correlations," Phys. Rev. Lett. 98, 083602 (2007).
10. G. Brida, M. Genovese, and I. Berchera, "Experimental realization of sub-shot-noise quantum imaging," Nat. Photonics 4, 227-230 (2010).
11. O. Aytür and P. Kumar, "Squeezed-light generation with a mode-locked q-switched laser and detection by using a matched local oscillator," Opt. Lett. 17, 529-531 (1992).
12. D. Smithey, M. Beck, M. Belsley, and M. Raymer, "Sub-shot-noise correlation of total photon number using macroscopic twin pulses of light," Phys. Rev. Lett. 69, 2650-2653 (1992).
13. L. Jiying, Z. Jubo, L. Chuan, and H. Shisheng, "High-quality quantum-imaging algorithm and experiment based on compressive sensing," Opt. Lett. 35, 1206-1208 (2010).
14. O. Katz, Y. Bromberg, and Y. Silberberg, "Compressive ghost imaging," App. Phys. Lett. 95, 131110 (2009).
15. P. Zerom, K. W. C. Chan, J. C. Howell, and R. W. Boyd, "Entangled-photon compressive ghost imaging," Phys. Rev. A 84, 061804 (2011).
16. T. Do, L. Gan, N. Nguyen, and T. Tran, "Fast and efficient compressive sensing using structurally random matrices," IEEE Trans. Signal Process. 60, 139-154 (2012).
17. D. Smith, J. Gore, T. Yankeelov, and E. Welch, "Real-time compressive sensing MRI reconstruction using GPU computing and split bregman methods," Int. J. of Biomed. Imag. 2012, 864827 (2012).
18. R. Pooser, B. Lawrie, and W. Grice, "Compressive sampling low light beam profiler using structural random matrices with a semilocal randomizer," In Preparation.
19. E. Candès, J. Romberg, and T. Tao, "Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf. Theory 52, 489-509 (2006).
20. M. Figueiredo, R. Nowak, and S. Wright, "Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems," IEEE J. Sel. Top. Sig. Process 1, 586-597 (2007).
21. C. Li,W. Yin, H. Jiang, and Y. Zhang, "An efficient augmented lagrangian method with applications to total variation minimization," Tech. Rep. TR12-13, Computational and Applied Mathematics, Rice University, Houston, TX, (2012).