Quantum computing has shown the potential to solve particular types of problems, especially those involving a large number of variables, at an exponentially faster pace 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.

Pages: 335, Dimensions: 17x17cm