Quantum Machine Learning: What Quantum Computing Means to Data Mining (Elsevier Insights) 1st Edition [NulledPremium]

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Book details
File Size: 1.38 MB
Format: pdf
Print Length: 178 pages
Page Numbers Source ISBN: 0128100400
Publisher: Academic Press; 1 edition (September 10, 2014)
Publication Date: September 10, 2014
Sold by: Amazon.com Services LLC
Language: English
ASIN: B00NPVBN0W

Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. Bridges the gap between abstract developments in quantum computing with the applied research on machine learning Provides the theoretical minimum of machine learning, quantum mechanics, and quantum computing Gives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of research

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