Quantum machine learning

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...

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Bibliographic Details
Other Authors: Bhattacharyya, Siddhartha, 1975-, Pan, Indrajit, 1983-, Mani, Ashish (Editor), De, Sourav 1979-, Behrman, Elizabeth (Editor), Chakraborti, Susanta (Editor)
Format: eBook
Language:English
Published: Berlin Boston De Gruyter [2020]
Series:De Gruyter frontiers in computational intelligence ; v. 6.
Subjects:
Machine learning.
Quantum theory.
Algorithmus
Künstliche Intelligenz
Maschinelles Lernen
Quantum Computing
COMPUTERS / Intelligence (AI) & Semantics
EBSCO eBooks
Electronic books
Online Access:EBSCOhost
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Table of Contents:
  • 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

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