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dc.contributor.authorMahmud, Naveed
dc.contributor.authorEl-Araby, Esam
dc.date.accessioned2021-01-13T16:57:11Z
dc.date.available2021-01-13T16:57:11Z
dc.date.issued2019-11-11
dc.identifier.citationNaveed Mahmud, Esam El-Araby, "Dimension Reduction Using Quantum Wavelet Transform on a High-Performance Reconfigurable Computer", International Journal of Reconfigurable Computing, vol. 2019, Article ID 1949121, 14 pages, 2019. https://doi.org/10.1155/2019/1949121en_US
dc.identifier.urihttp://hdl.handle.net/1808/31126
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractThe high resolution of multidimensional space-time measurements and enormity of data readout counts in applications such as particle tracking in high-energy physics (HEP) is becoming nowadays a major challenge. In this work, we propose combining dimension reduction techniques with quantum information processing for application in domains that generate large volumes of data such as HEP. More specifically, we propose using quantum wavelet transform (QWT) to reduce the dimensionality of high spatial resolution data. The quantum wavelet transform takes advantage of the principles of quantum mechanics to achieve reductions in computation time while processing exponentially larger amount of information. We develop simpler and optimized emulation architectures than what has been previously reported, to perform quantum wavelet transform on high-resolution data. We also implement the inverse quantum wavelet transform (IQWT) to accurately reconstruct the data without any losses. The algorithms are prototyped on an FPGA-based quantum emulator that supports double-precision floating-point computations. Experimental work has been performed using high-resolution image data on a state-of-the-art multinode high-performance reconfigurable computer. The experimental results show that the proposed concepts represent a feasible approach to reducing dimensionality of high spatial resolution data generated by applications such as particle tracking in high-energy physics.en_US
dc.publisherHindawien_US
dc.rightsCopyright © 2019 Naveed Mahmud and Esam El-Araby.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.titleDimension Reduction Using Quantum Wavelet Transform on a High-Performance Reconfigurable Computeren_US
dc.typeArticleen_US
kusw.kuauthorMahmud, Naveed
kusw.kuauthorEl-Araby, Esam
kusw.kudepartmentElectrical Engineering and Computer Scienceen_US
dc.identifier.doi10.1155/2019/1949121en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5570-0547en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-4575-1049en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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Copyright © 2019 Naveed Mahmud and Esam El-Araby.
Except where otherwise noted, this item's license is described as: Copyright © 2019 Naveed Mahmud and Esam El-Araby.