Quantum Machine Learning

Quantum Algorithms and Neural Networks

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.

Contributor: Pethuru Raj (Edited by), Houbing Herbert Song (Edited by), Dac-Nhuong Le (Edited by), Narayan Vyas (Edited by)

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