Quantum Computing from Hopfield Nets

A Textbook with Python Code Examples

,

Éditeur :

Springer

Paru le : 2025-11-17

This open access book is meant as a textbook for Computer Science students who are looking for a gentle introduction to the world of quantum computing. More specifically, it is written for readers who have basic knowledge of Artificial Intelligence (AI) and Machine Learning (ML) and have a certain f...
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Éditeur

Collection
n.c

Parution
2025-11-17

Pages
300 pages

EAN papier
9783031994012

Auteur(s) du livre


Christian 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.  

Caractéristiques détaillées - droits

EAN PDF
9783031994029
Prix
0,00 €
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
9820 Ko
EAN EPUB
9783031994029
Prix
0,00 €
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
23849 Ko

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