Quantum Machine Learning

Quantum Machine Learning

  • Siddhartha Bhattacharyya
  • Indrajit Pan
  • Ashish Mani
  • Sourav De
  • Elizabeth Behrman
  • Susanta Chakraborti
Publisher:Walter de Gruyter GmbH & Co KGISBN 13: 9783110670721ISBN 10: 3110670720

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Know about the book -

Quantum Machine Learning is written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. It's available with International Standard Book Number or ISBN identification 3110670720 (ISBN 10) and 9783110670721 (ISBN 13).

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.