東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Compressive Sensing for Quantum Imaging.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Compressive Sensing for Quantum Imaging./
作者:	Howland, Gregory A.
面頁冊數:	1 online resource (151 pages)
附註:	Source: Dissertations Abstracts International, Volume: 76-06, Section: B.
Contained By:	Dissertations Abstracts International76-06B.
標題:	Quantum physics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3644891click for full text (PQDT)
ISBN:	9781321333008

Compressive Sensing for Quantum Imaging.
Howland, Gregory A.

Compressive Sensing for Quantum Imaging. - 1 online resource (151 pages)

Source: Dissertations Abstracts International, Volume: 76-06, Section: B.

Thesis (Ph.D.)--University of Rochester, 2014.

Includes bibliographical references

This thesis describes the application of compressive sensing to several challenging problems in quantum imaging with practical and fundamental implications. Compressive sensing is a measurement technique that compresses a signal during measurement such that it can be dramatically undersampled. Compressive sensing has been shown to be an extremely efficient measurement technique for imaging, particularly when detector arrays are not available. The thesis first reviews compressive sensing through the lens of quantum imaging and quantum measurement. Four important applications and their corresponding experiments are then described in detail. The first application is a compressive sensing, photon-counting lidar system. A novel depth mapping technique that uses standard, linear compressive sensing is described. Depth maps up to 256 x 256 pixel transverse resolution are recovered with depth resolution less than 2.54 cm. The first three-dimensional, photon counting video is recorded at 32 x 32 pixel resolution and 14 frames-per-second. The second application is the use of compressive sensing for complementary imaging-simultaneously imaging the transverse-position and transverse-momentum distributions of optical photons. This is accomplished by taking random, partial projections of position followed by imaging the momentum distribution on a cooled CCD camera. The projections are shown to not significantly perturb the photons' momenta while allowing high resolution position images to be reconstructed using compressive sensing. A variety of objects and their diffraction patterns are imaged including the double slit, triple slit, alphanumeric characters, and the University of Rochester logo. The third application is the use of compressive sensing to characterize spatial entanglement of photon pairs produced by spontaneous parametric downconversion. The technique gives a theoretical speedup N2/log N for N-dimensional entanglement over the standard raster scanning technique. Entanglement imaging is demonstrated at 1024 dimensions-per-photon with channel capacities exceeding 8.4 bits-per-photon. In practice, the measurement time is reduced from 310 days for the standard technique to 8 hours for the compressive technique. An entropic steering inequality is violated to witness entanglement. The final application is a compressive wavefront sensor that unites compressive sensing with weak measurement. We show how a twisted-nematic spatial light modulator can be be used to weakly couple an optical field's position and polarization degrees of freedom. The complex nature of the weak value is used to directly measure random projections of the real and imaginary parts of the optical field, where polarization serves as an ancillary meter. We obtain 256 x 256 pixel wavefronts from only 10,000 random projections. Photon-counting detectors provide sub-picowatt sensitivity.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9781321333008Subjects--Topical Terms:

726746
Quantum physics.
Subjects--Index Terms:

Compressive sensingIndex Terms--Genre/Form:

542853
Electronic books.

Compressive Sensing for Quantum Imaging.
LDR:04268nmm a2200397K 4500 001 2360319
005 20230926101840.5
006 m o d
007 cr mn ---uuuuu
008 241011s2014 xx obm 000 0 eng d
020 $a 9781321333008
035 $a (MiAaPQ)AAI3644891
035 $a (MiAaPQ)rochester:10822
035 $a AAI3644891
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Howland, Gregory A. $3 3700936
245 1 0 $a Compressive Sensing for Quantum Imaging.
264 0 $c 2014
300 $a 1 online resource (151 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 76-06, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Howell, John C.
502 $a Thesis (Ph.D.)--University of Rochester, 2014.
504 $a Includes bibliographical references
520 $a This thesis describes the application of compressive sensing to several challenging problems in quantum imaging with practical and fundamental implications. Compressive sensing is a measurement technique that compresses a signal during measurement such that it can be dramatically undersampled. Compressive sensing has been shown to be an extremely efficient measurement technique for imaging, particularly when detector arrays are not available. The thesis first reviews compressive sensing through the lens of quantum imaging and quantum measurement. Four important applications and their corresponding experiments are then described in detail. The first application is a compressive sensing, photon-counting lidar system. A novel depth mapping technique that uses standard, linear compressive sensing is described. Depth maps up to 256 x 256 pixel transverse resolution are recovered with depth resolution less than 2.54 cm. The first three-dimensional, photon counting video is recorded at 32 x 32 pixel resolution and 14 frames-per-second. The second application is the use of compressive sensing for complementary imaging-simultaneously imaging the transverse-position and transverse-momentum distributions of optical photons. This is accomplished by taking random, partial projections of position followed by imaging the momentum distribution on a cooled CCD camera. The projections are shown to not significantly perturb the photons' momenta while allowing high resolution position images to be reconstructed using compressive sensing. A variety of objects and their diffraction patterns are imaged including the double slit, triple slit, alphanumeric characters, and the University of Rochester logo. The third application is the use of compressive sensing to characterize spatial entanglement of photon pairs produced by spontaneous parametric downconversion. The technique gives a theoretical speedup N2/log N for N-dimensional entanglement over the standard raster scanning technique. Entanglement imaging is demonstrated at 1024 dimensions-per-photon with channel capacities exceeding 8.4 bits-per-photon. In practice, the measurement time is reduced from 310 days for the standard technique to 8 hours for the compressive technique. An entropic steering inequality is violated to witness entanglement. The final application is a compressive wavefront sensor that unites compressive sensing with weak measurement. We show how a twisted-nematic spatial light modulator can be be used to weakly couple an optical field's position and polarization degrees of freedom. The complex nature of the weak value is used to directly measure random projections of the real and imaginary parts of the optical field, where polarization serves as an ancillary meter. We obtain 256 x 256 pixel wavefronts from only 10,000 random projections. Photon-counting detectors provide sub-picowatt sensitivity.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Quantum physics. $3 726746
650 4 $a Optics. $3 517925
653 $a Compressive sensing
653 $a Lidar
653 $a Quantum entanglement
653 $a Quantum optics
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0599
690 $a 0752
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of Rochester. $b School of Arts and Sciences. $3 2099014
773 0 $t Dissertations Abstracts International $g 76-06B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3644891 $z click for full text (PQDT)