Quantum Computing from Hopfield Nets
A Textbook with Python Code Examples
Series: Cognitive Technologies;
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Product details:
- Publisher Springer Nature Switzerland
- Date of Publication 20 October 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031994012
- Binding Hardback
- No. of pages290 pages
- Size 235x155 mm
- Language English
- Illustrations XIV, 290 p. 48 illus., 15 illus. in color. Illustrations, black & white 700
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Long description:
"
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 familiarity with search algorithms, optimization techniques, and neural networks. This is not because the authors are interested in Quantum AI or Quantum ML, but because they start from the basic premise that there exists a conceptual bridge between certain AI/ML models and certain quantum computing models.
The purpose of this book is therefore 1) to revisit these AI/ML models and their applications, and 2) to build on this familiar foundation to segue into the study of quantum computing and its possible use cases. The presentation is technical but pragmatic and practice oriented. The authors cover theory to the necessary extent but largely proceed in an example-driven manner. Most of the examples are concerned with combinatorial optimization and consider problems that can be cast as quadratic unconstrained binary optimization problems.
Numerous python/numpy/scipy codes support the mathematical discussion and demonstrate how to put theory into practice, accompanied by exercises for each chapter. Parts of the material were adopted from long running lectures on pattern recognition, on the foundations of quantum computing, and on quantum computing algorithms, which are taught by the authors in the Computer Science master’s program at the University of Bonn.
" MoreTable of Contents:
Preface.- 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.
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