Quantum Machine Learning

 
 
De Gruyter (Verlag)
  • 1. Auflage
  • |
  • erschienen am 8. Juni 2020
 
  • Buch
  • |
  • Hardcover
  • |
  • XIII, 118 Seiten
978-3-11-067064-6 (ISBN)
 

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 information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system.

While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

  • Englisch
  • Berlin/Boston
  • |
  • Deutschland
  • Für Beruf und Forschung
  • 6 s/w Tabellen, 6 s/w Abbildungen
  • |
  • 6 b/w ill., 6 b/w tbl.
  • Höhe: 244 mm
  • |
  • Breite: 176 mm
  • |
  • Dicke: 15 mm
  • 358 gr
978-3-11-067064-6 (9783110670646)
weitere Ausgaben werden ermittelt
Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Susanta Chakraborti, India. Elizabeth Behrman, USA.
DNB DDC Sachgruppen

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