Quantum Machine Learning

Name: Quantum Machine Learning
Brand: De Gruyter
SKU: 9783110670646
Price: 3202 CZK
Availability: InStock

Autor: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti

Jazyk:

Vazba: Pevná

Vydavatel: De Gruyter

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 202 Kč

Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning,...

Informace o knize

Autor

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

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2020

Stránek

131

EAN

9783110670646

Enbook ID

24520926

Vydavatel

De Gruyter

Hmotnost

357

Rozměry

240 x 170 x 15

Kompletní popis

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. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. 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. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples

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Quantum Machine Learning

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