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)

Infos

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

Autoren

P. Raj, RJP,

N. Vyas, AVN Innovations, India;

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

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

Produkt-Details

• 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
• Themenwelt: Informatik ► Theorie / Studium ► Theoretische Informatik
• Themenwelt: 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