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Quantum Machine Learning:

Quantum Machine Learning:

0 - Default Title
Description
The convergence of quantum computing and machine learning marks one of the most profound shifts in the history of computation. As classical algorithms begin to strain under the weight of data complexity, dimensionality, and energy demands, quantum machine learning (QML) emerges not merely as a technological upgrade-but as a conceptual leap. This book, Quantum Machine Learning: Bridging Qubits and Algorithms for the Next AI Revolution, is born from the conviction that the future of artificial intelligence lies in the entangled logic of quantum systems and the adaptive intelligence of learning algorithms.The journey into QML is not just about faster computation or exotic physics-it's about rethinking how machines learn, reason, and evolve. Quantum systems offer a radically different substrate for information processing: one that is probabilistic, parallel, and inherently high-dimensional. When fused with the principles of supervised, unsupervised, and reinforcement learning, these systems can unlock new capabilities in pattern recognition, optimization, generative modeling, and decision-making.
Product details
Binding:
Paperback
Number of Pages:
84
Release Date:
2025-12-04
Publication Date:
2025-12-04
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6209209629
ISBN13:
9786209209628
GPSR Manufacturer Reference:
Weight:
143 g
Height:
150 cm
Width:
220 cm
Thickness:
6 cm
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