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22 April 2020 Solving machine learning optimization problems using quantum computers
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Abstract
Classical optimization algorithms in machine learning often take a long time to compute when applied to a multi-dimensional problem and require a huge amount of CPU and GPU resource. Quantum parallelism has a potential to speed up machine learning algorithms. We describe a generic mathematical model to leverage quantum parallelism to speed-up machine learning algorithms. We also apply quantum machine learning and quantum parallelism to a 3-dimensional image that vary with time as well as tracking speed in object identification.
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Venkat R. Dasari, Mee Seong Im, and Lubjana Beshaj "Solving machine learning optimization problems using quantum computers", Proc. SPIE 11419, Disruptive Technologies in Information Sciences IV, 114190F (22 April 2020); https://doi.org/10.1117/12.2565038
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