DocumentCode
2784982
Title
Quantum image processing (QuIP)
Author
Beach, Glenn ; Lomont, Chris ; Cohen, Charles
Author_Institution
Cybernet Syst. Corp., Ann Arbor, MI, USA
fYear
2003
fDate
15-17 Oct. 2003
Firstpage
39
Lastpage
44
Abstract
Moore´s law states that computing performance doubles every 18 months. While this has held true for 40 years, it is widely believed that this will soon come to an end. Quantum computation offers a potential solution to the eventual failure of Moore´s law. Researchers have shown that efficient quantum algorithms exist and can perform some calculations significantly faster than classical computers. Quantum computers require very different algorithms than classical computers, so the challenge of quantum computation is to develop efficient quantum algorithms. Cybernet is working with the Air Force Research Laboratory (AFRL) to create image processing algorithms for quantum computers. We have shown that existing quantum algorithms (such as Grover´s algorithm) are applicable to image processing tasks. We are continuing to identify other areas of image processing which can be improved through the application of quantum computing.
Keywords
computation theory; image processing; quantum computing; Air Force Research Laboratory; Cybernet; Grover´s algorithm; Moore´s law; classical computers; image processing algorithms; quantum algorithms; quantum computation; quantum computers; quantum computing; quantum image processing; Application software; Computational modeling; Computer simulation; Image processing; Military computing; Moore´s Law; Physics computing; Quantum computing; Quantum entanglement; Quantum mechanics;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery Pattern Recognition Workshop, 2003. Proceedings. 32nd
Print_ISBN
0-7695-2029-4
Type
conf
DOI
10.1109/AIPR.2003.1284246
Filename
1284246
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