Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Book Faculty Publications- Book Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Quantum machine learning Description An account of the resource 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. New trends in Machine Learning based on Quantum Computing and Quantum Algorithms Examples on real life applications Illustrative diagrams and coding examples. 2020 Walter de Gruyter GmbH, Berlin/Boston. All rights reserved. Creator An entity primarily responsible for making the resource Bhattacharyya S.; Pan I.; Mani A.; De S.; Behrman E.; Chakrabarti S. Source A related resource from which the described resource is derived Quantum Machine Learning, pp. 1-120. Publisher An entity responsible for making the resource available De Gruyter Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1515/9783110670707" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/9783110670707</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092074036&amp;doi=10.1515%2F9783110670707&amp;partnerID=40&amp;md5=1dedc0c1ca4afcfd987b575872cf021c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092074036&amp;doi=10.1515%2f9783110670707&amp;partnerID=40&amp;md5=1dedc0c1ca4afcfd987b575872cf021c</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISBN: 978-311067070-7; 978-311067072-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Bhattacharyya S., Department of Computer Science and Engineering CHRIST (Deemed to be University), Bangalore, India; Pan I., RCC Institute of Information Technology, Canal South Road, Beliaghata, Kolkata, 700 015, India; Mani A., Amity University Uttar Pradesh, Sector-125, Noida, UP, India; De S., Cooch Behar Government Engineering College Post Ghughumari, Harinchawara, Cooch Behar, West Bengal, 736170, India; Behrman E., Wichita State University, 1845 Fairmount St., Wichita, 67260, United States; Chakrabarti S., Indian Institute of Engineering, Science and Technology Botanic Garden, Shibpur, West Bengal, 711103, India