Quantum Machine Learning - Couverture rigide

Couverture rigide

ISBN 10 : 311067064X ISBN 13 : 9783110670646

Editeur : De Gruyter, 2020

Synopsis

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.

A propos du livre

À propos de l?auteur

Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Susanta Chakraborti, India. Elizabeth Behrman, USA.

Détails de l'édition

• Éditeur: De Gruyter
• Date d'édition: 2020
• Langue: anglais
• ISBN 10: 311067064X
• ISBN 13: 9783110670646
• Reliure: Relié
• Nombre de pages: 131
• Éditeur: Bhattacharyya Siddhartha, Pan Indrajit, Mani Ashish, De Sourav, Behrman Elizabeth, Chakraborti Susanta
• Coordonnées du fabricant: productsafety@degruyterbrill.com; productsafety@degruyterbrill.com; ; Theaterstraße 13; Göttingen; 37073; Allemagne