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- W4319230967 abstract "For physicists, statisticians, computer engineers, and other technical professionals, quantum information processing is an essential technology with many outstanding challenges. This chapter gives a brief overview of some well-known previous works on the areas of quantum AI, quantum ML, and quantum image handling. The primary goal of this work is to compile the current state of the art in various quantum image handling tasks, storage techniques along with various quantum supervised and unsupervised learning algorithms and summarize the recent developments in this field. Other from that, several of the available quantum approaches are examined based on their applications, distinctions, limitations, and potential uses. In this chapter, we study and describe an overview of how quantum principles can contribute to improving the performance of different machine learning and image processing techniques." @default.
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- W4319230967 date "2023-01-01" @default.
- W4319230967 modified "2023-10-18" @default.
- W4319230967 title "Quantum Computing in Machine Learning" @default.
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- W4319230967 doi "https://doi.org/10.1007/978-981-19-8004-6_7" @default.
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