Title:
Concise Guide to Quantum Machine Learning
Author:
Pastorello, Davide. author.
ISBN:
9789811968976
Edition:
1st ed. 2023.
Physical Description:
X, 138 p. 12 illus., 5 illus. in color. online resource.
Series:
Machine Learning: Foundations, Methodologies, and Applications,
Contents:
Chapter 1: Introduction -- Chapter 2: Basics of Quantum Mechanics -- Chapter 3: Basics of Quantum Computing -- Chapter 4: Relevant Quantum Algorithms -- Chapter 5: QML Toolkit -- Chapter 6: Quantum Clustering -- Chapter 7: Quantum Classification -- Chapter 8: Quantum Pattern Recognition -- Chapter 9: Quantum Neural Networks -- Chapter 10: Concluding Remarks.
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-19-6897-6Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
---|---|---|---|---|---|
Searching... | E-Book | 520184-1001 | XX(520184.1) | Searching... | Searching... |