Quantum Computing from Hopfield Nets
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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| Format: | Online |
| Jezik: | engleski |
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Springer Nature
2025
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| Online pristup: | ONIX_20251218T100927_9783031994029_23 |
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| _version_ | 1869520109077266432 |
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| author | Bauckhage, Christian Sifa, Rafet |
| author_browse | Bauckhage, Christian Sifa, Rafet |
| author_facet | Bauckhage, Christian Sifa, Rafet |
| author_sort | Bauckhage, Christian |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-170346 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1703462025-12-20T05:07:27Z Quantum Computing from Hopfield Nets Bauckhage, Christian Sifa, Rafet Open Access Quantum Computing Quantum Machine Learning Neural Networks Quantum Algorithms Adiabatic Quantum Computing Hopfield Nets Quantum Mechanics QUBOs QUBO Models Statistical Mechanics Quantum Gate Computing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PH Physics::PHQ Quantum physics (quantum mechanics and quantum field theory) thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UN Databases 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. 2025-12-20T05:07:26Z 2025-12-20T05:07:26Z 2025-12-18T09:14:10Z 2026 book ONIX_20251218T100927_9783031994029_23 https://library.oapen.org/handle/20.500.12657/109288 9783031994029 9783031994012 https://directory.doabooks.org/handle/20.500.12854/170346 eng Cognitive Technologies; Computer Science; Computer Science (R0) open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/109288/1/9783031994029.pdf Springer Nature Springer 10.1007/978-3-031-99402-9 10.1007/978-3-031-99402-9 9fa3421d-f917-4153-b9ab-fc337c396b5a 8d2e789c-be02-484c-903c-8ed851084006 9783031994029 9783031994012 Springer 300 Cham [...] open access |
| spellingShingle | Open Access Quantum Computing Quantum Machine Learning Neural Networks Quantum Algorithms Adiabatic Quantum Computing Hopfield Nets Quantum Mechanics QUBOs QUBO Models Statistical Mechanics Quantum Gate Computing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PH Physics::PHQ Quantum physics (quantum mechanics and quantum field theory) thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UN Databases Bauckhage, Christian Sifa, Rafet Quantum Computing from Hopfield Nets |
| title | Quantum Computing from Hopfield Nets |
| title_full | Quantum Computing from Hopfield Nets |
| title_fullStr | Quantum Computing from Hopfield Nets |
| title_full_unstemmed | Quantum Computing from Hopfield Nets |
| title_short | Quantum Computing from Hopfield Nets |
| title_sort | quantum computing from hopfield nets |
| topic | Open Access Quantum Computing Quantum Machine Learning Neural Networks Quantum Algorithms Adiabatic Quantum Computing Hopfield Nets Quantum Mechanics QUBOs QUBO Models Statistical Mechanics Quantum Gate Computing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PH Physics::PHQ Quantum physics (quantum mechanics and quantum field theory) thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UN Databases |
| topic_facet | Open Access Quantum Computing Quantum Machine Learning Neural Networks Quantum Algorithms Adiabatic Quantum Computing Hopfield Nets Quantum Mechanics QUBOs QUBO Models Statistical Mechanics Quantum Gate Computing thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning thema EDItEUR::P Mathematics and Science::PH Physics::PHQ Quantum physics (quantum mechanics and quantum field theory) thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics thema EDItEUR::U Computing and Information Technology::UF Business applications::UFM Mathematical and statistical software thema EDItEUR::U Computing and Information Technology::UN Databases |
| url | ONIX_20251218T100927_9783031994029_23 |
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