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Quantum Machine Learning

Quantum Algorithms and Neural Networks

Pethuru Raj, Houbing Herbert Song, Dac-Nhuong Le, Narayan Vyas (Herausgeber)

Buch | Hardcover

VIII, 327 Seiten

2024 | 1. Auflage
De Gruyter (Verlag)
978-3-11-134209-2 (ISBN)

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Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers.

This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.

Provides an overview of the basic concepts, preliminaries, and principles of quantum computing and machine learning
Presents the most advanced and well-known quantum machine learning and optimisation algorithms

P. Raj, RJP,

N. Vyas, AVN Innovations, India;

H.H. Song, University of Baltimore, USA;

D.-N. Le, Haiphong University, Vietnam.

Erscheinungsdatum	16.07.2024
Reihe/Serie	Quantum Computing
Zusatzinfo	18 b/w and 47 col. ill.
Verlagsort	Berlin/Boston
Sprache	englisch
Maße	170 x 240 mm
Gewicht	685 g
Einbandart	gebunden
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Theorie / Studium ► Theoretische Informatik
	Mathematik / Informatik ► Informatik ► Weitere Themen
Schlagworte	Artificial Intelligence • machine learning • Quantum Algorithms • Quantum Computing • Quantum neural computation
ISBN-10	3-11-134209-3 / 3111342093
ISBN-13	978-3-11-134209-2 / 9783111342092
Zustand	Neuware