Quantum Machine Learning: Quantum Algorithms and Neural Networks

by Pethuru Raj (editor), Houbing Herbert Song (editor), Dac-Nhuong Le (editor)

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.

335 pages, Hardcover

Published August 6, 2024