Quantum Machine Learning: Quantum Algorithms and Neural Networks
β Scribed by Pethuru Raj, Houbing Herbert Song, Dac-Nhuong Le, Narayan Vyas
- Publisher
- De Gruyter
- Year
- 2024
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network mode
<p>This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quan
<p>This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and artificial intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quan
Work with fully explained algorithms and ready-to-use examples that can be run on quantum simulators and actual quantum computers with this comprehensive guide Key Features Get a solid grasp of the principles behind quantum algorithms and optimization with minimal mathematical prerequisites Lea
Work with fully explained algorithms and ready-to-use examples that can be run on quantum simulators and actual quantum computers with this comprehensive guide Key Features Get a solid grasp of the principles behind quantum algorithms and optimization with minimal mathematical prerequisite