Quantum machine learning
Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum inf...
| Другие авторы: | , , , , , |
|---|---|
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin Boston
De Gruyter
[2020]
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| Серии: | De Gruyter frontiers in computational intelligence ;
v. 6. |
| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
Оглавление:
- Frontmatter
- Contents
- List of Contributors
- Preface
- 1. Introduction to quantum machine learning
- 2. Topographic representation for quantum machine learning
- 3. Quantum optimization for machine learning
- 4. From classical to quantum machine learning
- 5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm
- 6. Conclusion
- Index