Quantum Machine Learning
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Published By De Gruyter

9783110670707

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Quantum Machine Learning ◽

10.1515/9783110670707-toc ◽

2020 ◽

pp. VII-VIII

1. Introduction to quantum machine learning

Quantum Machine Learning ◽

10.1515/9783110670707-001 ◽

2020 ◽

pp. 1-10

Keyword(s):

Machine Learning ◽

Quantum Machine Learning

List of Contributors

Quantum Machine Learning ◽

10.1515/9783110670707-203 ◽

2020 ◽

pp. IX-X

3. Quantum optimization for machine learning

Quantum Machine Learning ◽

10.1515/9783110670707-003 ◽

2020 ◽

pp. 39-66

Keyword(s):

Machine Learning ◽

Quantum Optimization

Index

Quantum Machine Learning ◽

10.1515/9783110670707-007 ◽

2020 ◽

pp. 117-120

Preface

Quantum Machine Learning ◽

10.1515/9783110670707-204 ◽

2020 ◽

pp. XI-XIV

2. Topographic representation for quantum machine learning

Quantum Machine Learning ◽

10.1515/9783110670707-002 ◽

2020 ◽

pp. 11-38

Keyword(s):

Machine Learning ◽

Quantum Machine Learning ◽

Topographic Representation

5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm

Quantum Machine Learning ◽

10.1515/9783110670707-005 ◽

2020 ◽

pp. 89-114

Keyword(s):

Genetic Algorithm ◽

Comparative Study ◽

Clustering Algorithms ◽

Bat Algorithm ◽

Automatic Clustering

6. Conclusion

Quantum Machine Learning ◽

10.1515/9783110670707-006 ◽

2020 ◽

pp. 115-116

Frontmatter

Quantum Machine Learning ◽

10.1515/9783110670707-fm ◽

2020 ◽

pp. I-VI

Quantum Machine Learning
Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By De Gruyter

Contents

1. Introduction to quantum machine learning

List of Contributors

3. Quantum optimization for machine learning

Index

Preface

2. Topographic representation for quantum machine learning

5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm

6. Conclusion

Frontmatter

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Quantum Machine LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By De Gruyter

Contents

1. Introduction to quantum machine learning

List of Contributors

3. Quantum optimization for machine learning

Index

Preface

2. Topographic representation for quantum machine learning

5. Quantum inspired automatic clustering algorithms: A comparative study of Genetic algorithm and Bat algorithm

6. Conclusion

Frontmatter

Quantum Machine Learning
Latest Publications