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OverviewFull Product DetailsAuthor: Christian Bauckhage , Rafet SifaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG ISBN: 9783031994012ISBN 10: 3031994019 Pages: 290 Publication Date: 13 October 2025 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsPreface.- Part I. Preliminaries.- 1. Setting the Stage.- 2. Boolean Domains, Numbers, and Vectors.- 3. Kronecker Products.- 4. QUBOs.- 5. QUBO Models.- Part II. Hopfield Nets.- 6. Hopfield Nets.- 7. Hopfield Nets in Action.- 8. Hopfield Nets and Statistical Mechanics.- 9. Hopfield Nets and Quantum Mechanics.- Part III. Quantum Computing.- 10. Quantum Mechanics in a Nutshell.- 11. Exploring Quantum Weirdness.- 12. Adiabatic Quantum Computing.- 13. An Outlook to Quantum Gate Computing.- Index.ReviewsAuthor InformationChristian Bauckhage is a Professor for Intelligent Learning Systems at the University of Bonn, Lead Scientist for Machine Learning at Fraunhofer IAIS, and co-director of The Lamarr Institute for Machine Learning and Artificial Intelligence. His experience in the fields of Data Science and Artificial Intelligence results from more than 20 years of applied and basic research in industry and academia. Currently, Prof. Bauckhage is largely concerned with the topic of Quantum Computing and the possibilities created by quantum computers to tackle previously almost unsolvable processes in Artificial Intelligence and Machine Learning. Since he has a background in computer science and theoretical physics, his lectures on quantum computing frequently combine both perspectives. Rafet Sifa is a Professor for Applied Machine Learning at the University of Bonn and Head of the Hybrid Intelligence Department at Fraunhofer IAIS. His current research focuses on hybrid, interpretable, and resource-aware learning systems for text mining, behavioural analytics, digital forensics, and medical informatics. Prof. Sifa has more than 15 years of experience with the development and deployment of machine learning models for real-world applications at scale. His research on quantum computing solutions is motivated by practical problems in business optimization, finance, and accounting. Tab Content 6Author Website:Countries AvailableAll regions |