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Quantum machine learning
Hardback
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- Book Synopsis
- 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.
- Product Details
-
- ISBN
- 9783111342092
- Format
- Hardback
- Publisher
- De Gruyter, (30 June 2025)
- Number of Pages
- 335
- Weight
- 681 grams
- Language
- English
- Dimensions
- 240 x 170 x 19 mm
- Series:
- See all books in this series
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