Toward implementing efficient image processing algorithms on quantum computers

Quantum information science is an interdisciplinary subject spanning physics, mathematics, and computer science. It involves finding new ways to apply natural quantum-mechanical effects, particularly superposition and entanglement, to information processing in an attempt to exceed the limits of trad...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 27; H. 18; S. 13115 - 13127
Hauptverfasser:	Yan, Fei, Venegas-Andraca, Salvador E., Hirota, Kaoru
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.09.2023 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Computational Intelligence Computer science Computers Control Data processing Engineering Focus Fourier transforms Image manipulation Image processing Information science Machine learning Mathematical Logic and Foundations Mechatronics Military technology Neural networks Product development Quantum computers Quantum computing Quantum entanglement Quantum phenomena Robotics Simulation State-of-the-art reviews Wavelet transforms China Quantum computing Quantum algorithm Quantum information Quantum computer Quantum image processing
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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