1st edition
Hardback (05 Aug 2024)
Includes delivery to the United States
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.
| ISBN: | 9783111342092 |
| Publisher: | De Gruyter |
| Imprint: | De Gruyter |
| Pub date: | 05 Aug 2024 |
| Edition: | 1st edition |
| Language: | English |
| Number of pages: | 490 |
| Weight: | -1g |
| Height: | 240mm |
| Width: | 170mm |
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