Many-Sorted Algebras for Deep Learning and Quantum Technology 1st Edition Giardina Ph.D.
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Product details:
- ISBN-10 : 044313698X
- ISBN-13 : 9780443136986
- Author : Charles R. Giardina
Table of contents:
Chapter 1. Introduction to quantum many-sorted algebras
Chapter 2. Basics of deep learning
Chapter 3. Basic algebras underlying quantum and NN mechanisms
Chapter 4. Quantum Hilbert spaces and their creation
Chapter 5. Quantum and machine learning applications involving matrices
Chapter 6. Quantum annealing and adiabatic quantum computing
Chapter 7. Operators on Hilbert space
Chapter 8. Spaces and algebras for quantum operators
Chapter 9. Von Neumann algebra
Chapter 10. Fiber bundles
Chapter 11. Lie algebras and Lie groups
Chapter 12. Fundamental and universal covering groups
Chapter 13. Spectra for operators
Chapter 14. Canonical commutation relations
Chapter 15. Fock space
Chapter 16. Underlying theory for quantum computing
Chapter 17. Quantum computing applications
Chapter 18. Machine learning and data mining
Chapter 19. Reproducing kernel and other Hilbert spaces
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